Triple

T12877429
Position Surface form Disambiguated ID Type / Status
Subject Red Heat E308003 entity
Predicate producer P490 FINISHED
Object Lawrence Gordon E164940 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: Lawrence Gordon | Statement: [Red Heat, producer, Lawrence Gordon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lawrence Gordon
Context triple: [Red Heat, producer, Lawrence Gordon]
  • A. Lawrence Gordon chosen
    Lawrence Gordon is an American film producer known for his work on major Hollywood action, horror, and fantasy films, including the Hellboy series.
  • B. Lawrence Gordon
    Lawrence Gordon is a central character in the Saw horror film franchise, a doctor whose involvement with the Jigsaw killer becomes increasingly pivotal to the series’ overarching plot.
  • C. Gordon Malloy
    Gordon Malloy is a wisecracking, skilled helmsman and loyal crew member aboard the exploratory spaceship in the sci-fi comedy-drama series "The Orville."
  • D. Lawrence Cummings
    Lawrence Cummings is a British conductor and harpsichordist renowned for his interpretations of Baroque music and leadership of major early music ensembles and festivals.
  • E. Lawrence Smith
    Lawrence Smith is one of the children of bestselling adventure novelist Wilbur Smith.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fa8474819086a8af3c90f3ca84 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0e54dc48190acf120ca5fe516ab completed May 3, 2026, 3:28 a.m.
Created at: April 9, 2026, 5:38 p.m.