Triple

T9494488
Position Surface form Disambiguated ID Type / Status
Subject John Connally E228969 entity
Predicate familyName P18 FINISHED
Object Connally E228969 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: Connally | Statement: [John Connally, familyName, Connally]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Connally
Context triple: [John Connally, familyName, Connally]
  • A. Connally chosen
    Connally is a surname most notably associated with American political figures such as Texas Governor John Connally and his wife Nellie Connally, a witness to President John F. Kennedy’s assassination.
  • B. Mark Connally
    Mark Connally is the son of former Texas First Lady Nellie Connally and prominent Texas politician John Connally.
  • C. Staubach
    Staubach is the surname of Roger Staubach, a Hall of Fame American football quarterback best known for his career with the Dallas Cowboys.
  • D. John McAllen
    John McAllen was a 19th-century rancher, merchant, and land developer whose influence in the Rio Grande Valley led to the South Texas city of McAllen being named in his honor.
  • E. Dirksen
    Dirksen is a surname most notably associated with Everett Dirksen, a prominent mid-20th-century American politician and U.S. Senate Minority Leader.
  • 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd95ea4a04819092c7842361c6296e completed April 1, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a0331e08190b42df462c50e1f44 completed April 4, 2026, 4:19 p.m.
Created at: March 30, 2026, 7:56 p.m.