Triple

T10586350
Position Surface form Disambiguated ID Type / Status
Subject Leonard Schrader E249863 entity
Predicate workedWith P398 FINISHED
Object Sydney Pollack E152438 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: Sydney Pollack | Statement: [Leonard Schrader, workedWith, Sydney Pollack]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sydney Pollack
Context triple: [Leonard Schrader, workedWith, Sydney Pollack]
  • A. Sydney Pollack chosen
    Sydney Pollack was an American film director, producer, and actor known for acclaimed movies such as "Out of Africa," "Tootsie," and "The Firm."
  • B. Arthur Hiller
    Arthur Hiller was a Canadian-born film director best known for popular Hollywood movies such as "Love Story" and "The In-Laws."
  • C. Michael Cimino
    Michael Cimino was an American film director and screenwriter best known for his ambitious, visually striking dramas and his Oscar-winning work on the Vietnam War epic "The Deer Hunter."
  • D. Barry Levinson
    Barry Levinson is an American filmmaker and screenwriter best known for directing acclaimed films such as "Rain Man," "Diner," and "Good Morning, Vietnam."
  • E. Alan J. Pakula
    Alan J. Pakula was an American film director, producer, and screenwriter best known for his politically charged thrillers and character-driven dramas of the 1970s and 1980s.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d527698be48190a2f5e573d7cc0661 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69dbb6e6b0b081909c89d0e116cde87f completed April 12, 2026, 3:14 p.m.
Created at: April 6, 2026, 12:39 p.m.