Triple

T36880549
Position Surface form Disambiguated ID Type / Status
Subject Surinder Kapoor E911466 entity
Predicate employer P7 FINISHED
Object Film & Television Producers Guild of India
The Film & Television Producers Guild of India is a leading industry association representing and promoting the interests of film and television producers across the Indian entertainment sector.
E2202697 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: Film & Television Producers Guild of India | Statement: [Surinder Kapoor, employer, Film & Television Producers Guild of India]
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: Film & Television Producers Guild of India
Triple: [Surinder Kapoor, employer, Film & Television Producers Guild of India]
Generated description
The Film & Television Producers Guild of India is a leading industry association representing and promoting the interests of film and television producers across the Indian entertainment sector.

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_69f76e82339881909607a65c0503d941 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f9fd69b4b08190970609a0c2c3651a completed May 5, 2026, 2:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3dfaedb3388190bb3cdfd4bab08277 completed June 26, 2026, 4:07 a.m.
NEDg Description generation batch_6a3e020a7cd4819091f3e7c702115131 completed June 26, 2026, 4:37 a.m.
NED2 Entity disambiguation (via description) batch_6a3e0472733081908c285234143df57a completed June 26, 2026, 4:47 a.m.
Created at: May 3, 2026, 4:13 p.m.