Triple
T18885342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunil Dutt |
E461942
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sunil Dutt |
—
|
NE NERFINISHED |
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: Sunil Dutt | Statement: [Sunil Dutt, name, Sunil Dutt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sunil Dutt Context triple: [Sunil Dutt, name, Sunil Dutt]
-
A.
Sunil Dutt
chosen
Sunil Dutt was a prominent Indian film actor, producer, and politician known for his humanitarian work and long association with the Indian National Congress.
-
B.
Jeetendra
Jeetendra is a veteran Indian film and television actor best known for his prolific work in Hindi cinema from the 1960s through the 1990s and his energetic dance-oriented roles.
-
C.
Sanjay Sen
Sanjay Sen is known primarily as the husband of acclaimed Indian filmmaker and actress Aparna Sen.
-
D.
Mukesh Khanna
Mukesh Khanna is an Indian actor best known for his iconic roles as Shaktimaan in the popular superhero TV series and Bhishma Pitamah in the television adaptation of the Mahabharat.
-
E.
Dharmendra
Dharmendra is a legendary Indian film actor, often called the "He-Man" of Bollywood, known for his prolific work in Hindi cinema since the 1960s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c3d53e608190b8740c092b6e1523 |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 10, 2026, 11:57 a.m.