Triple
T9402416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dwight Schrute |
E226504
|
entity |
| Predicate | coworker |
P398
|
FINISHED |
| Object | Kelly Kapoor |
E223029
|
NE FINISHED |
How this triple was built (2 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: Kelly Kapoor | Statement: [Dwight Schrute, coworker, Kelly Kapoor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kelly Kapoor Context triple: [Dwight Schrute, coworker, Kelly Kapoor]
-
A.
Kelly Kapoor
chosen
Kelly Kapoor is a talkative, pop culture-obsessed customer service representative known for her dramatic personality and on-again, off-again relationship with Ryan Howard in the American version of The Office.
-
B.
Khushi Kapoor
Khushi Kapoor is an Indian actress and model, best known as the younger daughter of legendary Bollywood star Sridevi and film producer Boney Kapoor.
-
C.
Ekta Kapoor
Ekta Kapoor is a prominent Indian television and film producer known for revolutionizing Hindi soap operas and co-founding Balaji Telefilms.
-
D.
Shweta Bachchan Nanda
Shweta Bachchan Nanda is an Indian author, columnist, and fashion designer, known as the daughter of legendary actor Amitabh Bachchan and for her work in media and luxury fashion.
-
E.
Kajal Gupta
Kajal Gupta is an actress known for her work in Tollywood, the Bengali-language film industry based in Kolkata.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca843170f88190800a8ab2b5fc568e |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd51be35cc8190bafad423a142c305 |
completed | April 1, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d139ce08ec81908a8e81c060667ac3 |
completed | April 4, 2026, 4:18 p.m. |
Created at: March 30, 2026, 7:46 p.m.