Triple

T14764042
Position Surface form Disambiguated ID Type / Status
Subject Michael Gerald Ford E346945 entity
Predicate hasChild P369 FINISHED
Object Jonathan Ford E502165 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: Jonathan Ford | Statement: [Michael Gerald Ford, hasChild, Jonathan Ford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Ford
Context triple: [Michael Gerald Ford, hasChild, Jonathan Ford]
  • A. Jonathan Ford chosen
    Jonathan Ford is a senior naval officer and executive officer aboard the seaQuest DSV in the science fiction television series "seaQuest DSV."
  • B. David Ford
    David Ford was an American actor best known for his work in mid-20th-century film and television, including a leading role in the historical film "1776."
  • C. David Ford
    David Ford is a Northern Irish politician and former leader of the Alliance Party who became the first person to serve as Northern Ireland’s Minister of Justice after the devolution of policing and justice powers.
  • D. Michael Ford
    Michael Ford is an actor known for his role in the film "The Little People."
  • E. Robert Fletcher
    Robert Fletcher was a party in the landmark 1810 U.S. Supreme Court case Fletcher v. Peck, which helped establish the principle that states cannot pass laws invalidating contracts.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f3a1608190b1b17624003a0c7f completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64f0d948819080cc759ca599503d completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:30 a.m.