Triple

T6570267
Position Surface form Disambiguated ID Type / Status
Subject Jason Hart E155415 entity
Predicate familyName P18 FINISHED
Object Hart E55151 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: Hart | Statement: [Jason Hart, familyName, Hart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hart
Context triple: [Jason Hart, familyName, Hart]
  • A. Hart
    Hart is a local government district and civil parish area in Hampshire, England, known for its high quality of life and largely rural character.
  • B. Hart chosen
    Hart is a surname most famously associated with Moss Hart, the acclaimed American playwright and theater director known for works like "You Can't Take It with You" and "Once in a Lifetime."
  • C. Hood
    Hood is an English surname historically associated with notable figures such as the British naval commander Samuel Hood, 1st Viscount Hood.
  • D. Hartis
    Hartis is a prominent Somali clan family that forms one of the major lineages within the broader Somali clan system.
  • E. Hapert
    Hapert is a village in the Dutch province of North Brabant, located within the municipality of Bladel.
  • 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_69c688151254819080387f87deab8fa7 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae5791e881909d0b340aa63c6223 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d567ef7481908c700c3abe2863ae completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:53 p.m.