Triple

T18239583
Position Surface form Disambiguated ID Type / Status
Subject Charles Gordon E436770 entity
Predicate sibling P363 FINISHED
Object Lawrence Gordon NE NERFINISHED

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: [Charles Gordon, sibling, Lawrence Gordon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lawrence Gordon
Context triple: [Charles Gordon, sibling, 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. Lawrence Dane
    Lawrence Dane was a Canadian character actor known for his numerous film and television roles, particularly in genre and horror productions.
  • D. Lawrence Carroll
    Lawrence Carroll is a music video director best known for directing the video for Counting Crows' song "A Long December."
  • E. 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."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f7e19d9881908d6a227528241e4a completed April 19, 2026, 3:42 p.m.
Created at: April 10, 2026, 10:33 a.m.