Triple
T11240816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shammi Kapoor |
E266067
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Betaab
Betaab is a popular 1983 Hindi romantic action film that helped launch Sunny Deol and Amrita Singh to stardom in Bollywood.
|
E913414
|
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: Betaab | Statement: [Shammi Kapoor, notableWork, Betaab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betaab Context triple: [Shammi Kapoor, notableWork, Betaab]
-
A.
Baashha
Baashha is a hugely popular 1995 Tamil action film starring Rajinikanth, celebrated for its iconic dialogues, mass appeal, and enduring cult status in Indian cinema.
-
B.
Baaka
Baaka is the traditional Aboriginal name for the Darling River, one of the major inland rivers of southeastern Australia.
-
C.
Baabda
Baabda is a town in Lebanon that serves as the administrative center of the Mount Lebanon Governorate and hosts the Lebanese presidential palace.
-
D.
Barcha
Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
-
E.
Laabi
Laabi is a small village located in Harku Parish in northern Estonia.
- 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: Betaab Triple: [Shammi Kapoor, notableWork, Betaab]
Generated description
Betaab is a popular 1983 Hindi romantic action film that helped launch Sunny Deol and Amrita Singh to stardom in Bollywood.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Betaab Target entity description: Betaab is a popular 1983 Hindi romantic action film that helped launch Sunny Deol and Amrita Singh to stardom in Bollywood.
-
A.
Baashha
Baashha is a hugely popular 1995 Tamil action film starring Rajinikanth, celebrated for its iconic dialogues, mass appeal, and enduring cult status in Indian cinema.
-
B.
Baaka
Baaka is the traditional Aboriginal name for the Darling River, one of the major inland rivers of southeastern Australia.
-
C.
Baabda
Baabda is a town in Lebanon that serves as the administrative center of the Mount Lebanon Governorate and hosts the Lebanese presidential palace.
-
D.
Barcha
Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
-
E.
Laabi
Laabi is a small village located in Harku Parish in northern Estonia.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e919eaf48190a1457851cfc56afb |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad79e4788190af39186f37600a64 |
completed | April 19, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69e4b12eee348190bee6c84587e4955d |
completed | April 19, 2026, 10:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4be2bb8c88190a21773b0c43b6b99 |
completed | April 19, 2026, 11:36 a.m. |
Created at: April 8, 2026, 9:30 p.m.