Triple

T7584213
Position Surface form Disambiguated ID Type / Status
Subject Richard Fleischer E179565 entity
Predicate notableWork P4 FINISHED
Object Soylent Green E215345 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: Soylent Green | Statement: [Richard Fleischer, notableWork, Soylent Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soylent Green
Context triple: [Richard Fleischer, notableWork, Soylent Green]
  • A. Soylent Green chosen
    Soylent Green is a 1973 dystopian science fiction film set in an overpopulated future where a detective uncovers the horrifying secret behind a popular synthetic food product.
  • B. Logan's Run
    Logan's Run is a 1976 science fiction film set in a dystopian future where citizens are executed at age 30, following a "Sandman" who begins to question the system.
  • C. Slan
    Slan is a classic 1940 science fiction novel by A. E. van Vogt about a persecuted race of telepathic mutants, often cited as a landmark of the Golden Age of Science Fiction.
  • D. The Terminal Man
    The Terminal Man is a 1972 science fiction novel by Michael Crichton about a man implanted with a brain-control device that malfunctions with violent consequences.
  • E. V’Ger
    V’Ger is the immensely powerful, evolved space probe that serves as the central enigmatic antagonist in the film "Star Trek: The Motion Picture."
  • 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_69c69f327db881909a21ae3b156f8ded completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f993cd0c8190864f801074625a32 completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c861812e08819097fd14fe2b8fee13 completed March 28, 2026, 11:17 p.m.
Created at: March 27, 2026, 3:52 p.m.