Triple

T16999471
Position Surface form Disambiguated ID Type / Status
Subject Larissa Howard E412403 entity
Predicate father P120 FINISHED
Object Michael Howard E66634 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: Michael Howard | Statement: [Larissa Howard, father, Michael Howard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Howard
Context triple: [Larissa Howard, father, Michael Howard]
  • A. Michael Howard chosen
    Michael Howard is a British Conservative politician who served as Leader of the Conservative Party and Leader of the Opposition in the early 2000s.
  • B. Sir Michael Howard
    Sir Michael Howard was a distinguished British military historian and academic renowned for his influential works on war, strategy, and European history.
  • C. Andrew Howard
    Andrew Howard is a Welsh actor known for his intense character roles in film and television, including a supporting role in the thriller "Limitless."
  • D. Martin Hawke
    Martin Hawke is a person notable enough to be recognized as a prominent bearer of the surname Hawke.
  • E. Michael Heseltine
    Michael Heseltine is a British Conservative politician and businessman who served in several senior government roles, including Deputy Prime Minister under John Major, and was known for his pro-European stance and high-profile clashes within his party.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d37cd6248190a7202ae754882640 completed April 18, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc1ac518819093fac61b5598d730 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.