Triple

T3132688
Position Surface form Disambiguated ID Type / Status
Subject Ford E65451 entity
Predicate hasNotableBearer P458 FINISHED
Object David Ford E258248 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: David Ford | Statement: [Ford, hasNotableBearer, David Ford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Ford
Context triple: [Ford, hasNotableBearer, David Ford]
  • A. David Ford chosen
    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.
  • B. Daniel Ford
    Daniel Ford was a 19th-century American editor and publisher best known for shaping the influential family magazine The Youth's Companion.
  • C. Paul Ford
    Paul Ford was an American character actor best known for his comedic roles in mid-20th-century film and television, including his portrayal of blustery authority figures.
  • D. David Hartnett
    David Hartnett is a British civil servant best known for serving as the Permanent Secretary for Tax at HM Revenue and Customs, where he was the UK's top tax official.
  • E. Graham Carr
    Graham Carr is a Canadian academic and administrator who serves as the president of Concordia University in Montreal.
  • 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_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada55f77b881908866fc43bdb18185 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f82787c81908eb72b18614c3421 completed March 12, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:04 p.m.