Triple

T14560339
Position Surface form Disambiguated ID Type / Status
Subject Corrigan E341648 entity
Predicate hasNotableBearer P458 FINISHED
Object E. Gerald Corrigan E1155996 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: E. Gerald Corrigan | Statement: [Corrigan, hasNotableBearer, E. Gerald Corrigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: E. Gerald Corrigan
Context triple: [Corrigan, hasNotableBearer, E. Gerald Corrigan]
  • A. Wilfred J. Corrigan
    Wilfred J. Corrigan is a semiconductor industry executive best known as the founder and former CEO of LSI Logic Corporation.
  • B. Edward P. Doherty
    Edward P. Doherty was a U.S. Army officer best known for leading the detachment that captured and killed President Abraham Lincoln’s assassin, John Wilkes Booth, at a farm near Port Royal, Virginia.
  • C. Robert J. Egan
    Robert J. Egan is an American politician who served as the mayor of Flint, Michigan.
  • D. Bernard J. Corrigan chosen
    Bernard J. Corrigan was an American railroad executive and businessman active in the late 19th and early 20th centuries.
  • E. Gerald S. O'Loughlin
    Gerald S. O'Loughlin was an American character actor and director known for his tough, authoritative roles in film and television, particularly in crime dramas of the 1960s and 1970s.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb389d0f48190a1d9d69456d1cbe1 completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff90815b64819082715292f6088c74 completed May 9, 2026, 7:52 p.m.
Created at: April 10, 2026, 1:23 a.m.