Triple
T2410181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kapoor |
E50369
|
entity |
| Predicate | notablePerson |
P304
|
FINISHED |
| Object |
Pankaj Kapur
Pankaj Kapur is an acclaimed Indian actor and director known for his powerful performances in film, television, and theatre.
|
E280419
|
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: Pankaj Kapur | Statement: [Kapoor, notablePerson, Pankaj Kapur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pankaj Kapur Context triple: [Kapoor, notablePerson, Pankaj Kapur]
-
A.
Deepak Kapur
Deepak Kapur is a computer scientist known for his influential work in automated reasoning and term rewriting systems.
-
B.
Sanjay Kapoor
Sanjay Kapoor is an Indian film and television actor and producer known for his work in Hindi cinema since the 1990s.
-
C.
Randhir Kapoor
Randhir Kapoor is an Indian actor, director, and producer from the prominent Kapoor film family, known for his work in Hindi cinema since the 1970s.
-
D.
Anupam Tripathi
Anupam Tripathi is an Indian actor best known internationally for his breakout role as Ali Abdul in the South Korean Netflix series "Squid Game."
-
E.
Prithviraj Kapoor
Prithviraj Kapoor was a pioneering Indian actor and theatre legend, regarded as one of the founding figures of Hindi cinema and the Kapoor film dynasty.
- 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: Pankaj Kapur Triple: [Kapoor, notablePerson, Pankaj Kapur]
Generated description
Pankaj Kapur is an acclaimed Indian actor and director known for his powerful performances in film, television, and theatre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pankaj Kapur Target entity description: Pankaj Kapur is an acclaimed Indian actor and director known for his powerful performances in film, television, and theatre.
-
A.
Deepak Kapur
Deepak Kapur is a computer scientist known for his influential work in automated reasoning and term rewriting systems.
-
B.
Sanjay Kapoor
Sanjay Kapoor is an Indian film and television actor and producer known for his work in Hindi cinema since the 1990s.
-
C.
Randhir Kapoor
Randhir Kapoor is an Indian actor, director, and producer from the prominent Kapoor film family, known for his work in Hindi cinema since the 1970s.
-
D.
Anupam Tripathi
Anupam Tripathi is an Indian actor best known internationally for his breakout role as Ali Abdul in the South Korean Netflix series "Squid Game."
-
E.
Prithviraj Kapoor
Prithviraj Kapoor was a pioneering Indian actor and theatre legend, regarded as one of the founding figures of Hindi cinema and the Kapoor film dynasty.
- 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc9272cf4819089be118c8a49d7f9 |
completed | March 7, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af6540028c8190aaafeada529d2e6a |
completed | March 10, 2026, 12:26 a.m. |
| NEDg | Description generation | batch_69af68b8b2488190b5d87852ca331e0e |
completed | March 10, 2026, 12:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af691252908190ad3671569044dbc4 |
completed | March 10, 2026, 12:42 a.m. |
Created at: March 4, 2026, 7:58 p.m.