Triple

T10149644
Position Surface form Disambiguated ID Type / Status
Subject Ted Dealey E232597 entity
Predicate name P16 FINISHED
Object Ted Dealey E232597 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: Ted Dealey | Statement: [Ted Dealey, name, Ted Dealey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ted Dealey
Context triple: [Ted Dealey, name, Ted Dealey]
  • A. Ted Dealey chosen
    Ted Dealey was an American newspaper publisher and influential editor of The Dallas Morning News, known for his conservative political views and impact on Texas journalism.
  • B. Bill Truitt
    Bill Truitt is a central character in the dark comedy film "The Opposite of Sex," serving as a mild-mannered teacher whose life is upended by the manipulative actions of his teenage half-sister.
  • C. Tom Boggs
    Tom Boggs is an American lawyer and lobbyist best known as the son of longtime U.S. Congressman Hale Boggs and influential Washington power broker Lindy Boggs.
  • D. Deak Parsons
    Deak Parsons was an American naval officer and physicist who played a key role in the development and deployment of the atomic bomb during World War II.
  • E. Frank Hague
    Frank Hague was a powerful and controversial early 20th-century mayor of Jersey City, New Jersey, known for his political machine and involvement in landmark civil liberties cases.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec03e80c81909c813dae91c56272 completed April 2, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3009992388190ab2a4aee23d0e004 completed April 6, 2026, 12:38 a.m.
Created at: March 30, 2026, 9:08 p.m.