Triple

T3083531
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth E64313 entity
Predicate director P255 FINISHED
Object Shekhar Kapur E322804 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: Shekhar Kapur | Statement: [Elizabeth, director, Shekhar Kapur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shekhar Kapur
Context triple: [Elizabeth, director, Shekhar Kapur]
  • A. Shekhar Kapur chosen
    Shekhar Kapur is an Indian filmmaker and actor best known internationally for directing the acclaimed historical dramas "Elizabeth" and its sequel "Elizabeth: The Golden Age."
  • B. Bimal Parekh
    Bimal Parekh is an Indian businessman and co-owner of the Indian Super League football club Mumbai City FC.
  • C. Mani Ratnam
    Mani Ratnam is an acclaimed Indian filmmaker known for his influential, visually distinctive and socially conscious films primarily in Tamil cinema.
  • D. Deepak Kapur
    Deepak Kapur is a computer scientist known for his influential work in automated reasoning and term rewriting systems.
  • E. Balu Mahendra
    Balu Mahendra was an acclaimed Indian filmmaker and cinematographer known for his visually poetic, character-driven films primarily in Tamil cinema.
  • 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1e877008190aacbd6f1357bdb9b completed March 8, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f89b650c8190983a00e37a42a794 completed March 11, 2026, 11:19 p.m.
Created at: March 8, 2026, 3:03 p.m.