Triple

T10837045
Position Surface form Disambiguated ID Type / Status
Subject Kenzo Kash Hart E255786 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: [Kenzo Kash Hart, familyName, Hart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hart
Context triple: [Kenzo Kash Hart, familyName, Hart]
  • A. 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."
  • B. 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.
  • 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. Hartman
    Hartman is a surname of Germanic origin borne by various notable individuals across fields such as entertainment, academia, and politics.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d746ff70148190b844ab92d796af6c completed April 9, 2026, 6:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e154a582188190af96ae0d5cc08dc4 completed April 16, 2026, 9:29 p.m.
Created at: April 8, 2026, 9:19 p.m.