Triple
T36647200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coolie No. 1 (1995 film) |
E904745
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
David Dhawan–Govinda collaborations
David Dhawan–Govinda collaborations refers to the popular series of Hindi comedy films from the 1990s and early 2000s in which director David Dhawan and actor Govinda teamed up to create some of Bollywood’s most successful and influential masala entertainers.
|
E2191910
|
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: David Dhawan–Govinda collaborations | Statement: [Coolie No. 1 (1995 film), partOf, David Dhawan–Govinda collaborations]
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: David Dhawan–Govinda collaborations Triple: [Coolie No. 1 (1995 film), partOf, David Dhawan–Govinda collaborations]
Generated description
David Dhawan–Govinda collaborations refers to the popular series of Hindi comedy films from the 1990s and early 2000s in which director David Dhawan and actor Govinda teamed up to create some of Bollywood’s most successful and influential masala entertainers.
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_69f76e6d3a3c81909db73eda9e0516bd |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c72f5edc81909581d59621d0695c |
completed | May 3, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3a09769fe88190b121ad34d2f30c15 |
completed | June 23, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_6a3a0d69be588190a63014cf862229be |
completed | June 23, 2026, 4:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3a0e5b312c8190a05b3b1414c09245 |
completed | June 23, 2026, 4:40 a.m. |
Created at: May 3, 2026, 4:11 p.m.