Triple

T3016338
Position Surface form Disambiguated ID Type / Status
Subject A Room with a View (1985 film) E82345 entity
Predicate producer P490 FINISHED
Object Ismail Merchant E118205 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: Ismail Merchant | Statement: [A Room with a View (1985 film), producer, Ismail Merchant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ismail Merchant
Context triple: [A Room with a View (1985 film), producer, Ismail Merchant]
  • A. Ismail Merchant chosen
    Ismail Merchant was an Indian-born film producer best known as one half of the Merchant Ivory filmmaking team, renowned for its acclaimed literary adaptations and period dramas.
  • B. Balu Mahendra
    Balu Mahendra was an acclaimed Indian filmmaker and cinematographer known for his visually poetic, character-driven films primarily in Tamil cinema.
  • C. Bimal Parekh
    Bimal Parekh is an Indian businessman and co-owner of the Indian Super League football club Mumbai City FC.
  • D. Mani Ratnam
    Mani Ratnam is an acclaimed Indian filmmaker known for his influential, visually distinctive and socially conscious films primarily in Tamil cinema.
  • E. David Puttnam
    David Puttnam is a British film producer and politician best known for producing acclaimed films such as "Chariots of Fire" and "The Killing Fields."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad8b1eb53481908c39bbcd1ec104b2 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a6c56708190b7d8d08bca727cc1 completed March 8, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e6eac1481909d56844e53c37b59 completed March 11, 2026, 8:57 a.m.
Created at: March 8, 2026, 3 p.m.