Triple

T22012309
Position Surface form Disambiguated ID Type / Status
Subject Black (2005 film) E543606 entity
Predicate editedBy P1954 FINISHED
Object Bela Sehgal
Bela Sehgal is an Indian film editor and director known for her work on prominent Bollywood films.
E1512991 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: Bela Sehgal | Statement: [Black (2005 film), editedBy, Bela Sehgal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bela Sehgal
Context triple: [Black (2005 film), editedBy, Bela Sehgal]
  • A. Balraj Dutt
    Balraj Dutt, better known by his stage name Sunil Dutt, was a prominent Indian film actor, producer, director, and politician who became one of Hindi cinema’s most respected figures.
  • B. Manohar Apte
    Manohar Apte is a person notable enough to be recognized as a distinguished bearer of the surname Apte.
  • C. Pran Kapoor
    Pran Kapoor is a mild-mannered, scholarly English lecturer in Vikram Seth’s novel "A Suitable Boy," known for his steady, responsible nature and marriage into the Mehra family.
  • D. B. G. Kher
    B. G. Kher was an Indian lawyer, freedom fighter, and senior Congress leader who became the first Chief Minister of the erstwhile Bombay State after independence.
  • E. Kamal Mehra
    Kamal Mehra is an Indian actor known for his role in the 1962 adventure film "Tarzan Goes to India."
  • 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: Bela Sehgal
Triple: [Black (2005 film), editedBy, Bela Sehgal]
Generated description
Bela Sehgal is an Indian film editor and director known for her work on prominent Bollywood films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bela Sehgal
Target entity description: Bela Sehgal is an Indian film editor and director known for her work on prominent Bollywood films.
  • A. Balraj Dutt
    Balraj Dutt, better known by his stage name Sunil Dutt, was a prominent Indian film actor, producer, director, and politician who became one of Hindi cinema’s most respected figures.
  • B. Manohar Apte
    Manohar Apte is a person notable enough to be recognized as a distinguished bearer of the surname Apte.
  • C. Pran Kapoor
    Pran Kapoor is a mild-mannered, scholarly English lecturer in Vikram Seth’s novel "A Suitable Boy," known for his steady, responsible nature and marriage into the Mehra family.
  • D. B. G. Kher
    B. G. Kher was an Indian lawyer, freedom fighter, and senior Congress leader who became the first Chief Minister of the erstwhile Bombay State after independence.
  • E. Kamal Mehra
    Kamal Mehra is an Indian actor known for his role in the 1962 adventure film "Tarzan Goes to India."
  • 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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a520bc8190865f525a87255fb2 completed April 28, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a7378f3088190a38ae4ac5e44f41d completed May 18, 2026, 2:03 a.m.
NEDg Description generation batch_6a0a748d35288190b092f1d83012e6c1 completed May 18, 2026, 2:08 a.m.
NED2 Entity disambiguation (via description) batch_6a0a74ee17008190b208c395b35a688f completed May 18, 2026, 2:09 a.m.
Created at: April 16, 2026, 8:22 p.m.