Triple

T4440795
Position Surface form Disambiguated ID Type / Status
Subject Predator E95765 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: [Predator, producer, Lawrence Gordon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lawrence Gordon
Context triple: [Predator, 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. 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."
  • C. 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.
  • D. Lawrence Smith
    Lawrence Smith is one of the children of bestselling adventure novelist Wilbur Smith.
  • E. Lawrence Guth
    Lawrence Guth is an American mathematician known for his influential work in harmonic analysis, combinatorial geometry, and incidence geometry.
  • 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355ac05e081908411089c05fc36bd completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b65f34df20819090767fe4c577be87 completed March 15, 2026, 7:26 a.m.
Created at: March 12, 2026, 11:32 p.m.