Triple

T11021960
Position Surface form Disambiguated ID Type / Status
Subject John Gibbon E260511 entity
Predicate name P16 FINISHED
Object John Gibbon E260511 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: John Gibbon | Statement: [John Gibbon, name, John Gibbon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Gibbon
Context triple: [John Gibbon, name, John Gibbon]
  • A. John Gibbon chosen
    John Gibbon was a 19th-century United States Army officer and Civil War general who later played a key role in the Indian Wars, including campaigns against the Nez Perce.
  • B. Ian Caldwell
    Ian Caldwell is an American novelist best known for co-authoring the bestselling historical thriller "The Rule of Four."
  • C. John Buckley
    John Buckley is a relatively common personal name shared by multiple notable individuals across fields such as politics, sports, the military, and the arts.
  • D. Jack B. Sowards
    Jack B. Sowards was an American screenwriter best known for writing the screenplay for the film Star Trek II: The Wrath of Khan.
  • E. Edward R. Rooney
    Edward R. Rooney is the strict, bumbling high school principal and main adult antagonist in the 1986 film "Ferris Bueller's Day Off."
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797bb6eec81909d8004af31f307f7 completed April 9, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69e462a02ad4819092a2e0be89343a7e completed April 19, 2026, 5:05 a.m.
Created at: April 8, 2026, 9:25 p.m.