Triple
T11792424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pankaj Kapur |
E280419
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
TV series Naya Office Office
TV series Naya Office Office is an Indian comedy show best known for its satirical take on bureaucracy and corruption, featuring Pankaj Kapur in a lead role.
|
E946898
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: TV series Naya Office Office | Statement: [Pankaj Kapur, notableWork, TV series Naya Office Office]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TV series Naya Office Office Context triple: [Pankaj Kapur, notableWork, TV series Naya Office Office]
-
A.
The Office franchise
The Office franchise is a popular mockumentary-style comedy series brand originating from the British TV show created by Ricky Gervais and Stephen Merchant, later adapted into multiple international versions including the hit American sitcom.
-
B.
The Office (UK TV series)
The Office (UK TV series) is a British mockumentary-style sitcom set in a mundane paper company, renowned for its cringe-inducing humor and pioneering influence on modern workplace comedies.
-
C.
television series Younger
Younger is an American comedy-drama television series that follows a 40-year-old woman who pretends to be in her 20s to reenter the publishing industry, created by Darren Star and known for its sharp take on age, career, and relationships.
-
D.
The Office (U.S. TV series)
The Office (U.S. TV series) is a mockumentary-style American sitcom that follows the everyday lives of employees at the Dunder Mifflin paper company, known for its dry humor, cringe comedy, and ensemble cast.
-
E.
"Office"
"Office" is a 2015 Hong Kong musical comedy-drama film directed by Johnnie To, adapted from Sylvia Chang’s stage play and set in a high-rise corporation to satirize modern office politics and capitalism.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TV series Naya Office Office Triple: [Pankaj Kapur, notableWork, TV series Naya Office Office]
Generated description
TV series Naya Office Office is an Indian comedy show best known for its satirical take on bureaucracy and corruption, featuring Pankaj Kapur in a lead role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TV series Naya Office Office Target entity description: TV series Naya Office Office is an Indian comedy show best known for its satirical take on bureaucracy and corruption, featuring Pankaj Kapur in a lead role.
-
A.
The Office franchise
The Office franchise is a popular mockumentary-style comedy series brand originating from the British TV show created by Ricky Gervais and Stephen Merchant, later adapted into multiple international versions including the hit American sitcom.
-
B.
The Office (UK TV series)
The Office (UK TV series) is a British mockumentary-style sitcom set in a mundane paper company, renowned for its cringe-inducing humor and pioneering influence on modern workplace comedies.
-
C.
television series Younger
Younger is an American comedy-drama television series that follows a 40-year-old woman who pretends to be in her 20s to reenter the publishing industry, created by Darren Star and known for its sharp take on age, career, and relationships.
-
D.
The Office (U.S. TV series)
The Office (U.S. TV series) is a mockumentary-style American sitcom that follows the everyday lives of employees at the Dunder Mifflin paper company, known for its dry humor, cringe comedy, and ensemble cast.
-
E.
"Office"
"Office" is a 2015 Hong Kong musical comedy-drama film directed by Johnnie To, adapted from Sylvia Chang’s stage play and set in a high-rise corporation to satirize modern office politics and capitalism.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a588d2c881909783c2d678c2a474 |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f09107fd2481908d765d2188035012 |
completed | April 28, 2026, 10:50 a.m. |
| NEDg | Description generation | batch_69f0bd40108c8190863a60cf01cc7201 |
completed | April 28, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f0ef7e9f388190b33f6c16abadfde9 |
completed | April 28, 2026, 5:33 p.m. |
Created at: April 8, 2026, 9:42 p.m.