Triple

T20469974
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Ford E502165 entity
Predicate fullName P16 FINISHED
Object Jonathan Ford NE NERFINISHED

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: [Jonathan Ford, fullName, Jonathan Ford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Ford
Context triple: [Jonathan Ford, fullName, 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 (2 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6995f753081909bbe03f7c251d9c1 completed April 20, 2026, 9:23 p.m.
Created at: April 16, 2026, 11:33 a.m.