Triple

T12267549
Position Surface form Disambiguated ID Type / Status
Subject The Black Angels E292384 entity
Predicate formerMember P1168 FINISHED
Object Kyle Hunt E973107 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: Kyle Hunt | Statement: [The Black Angels, formerMember, Kyle Hunt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyle Hunt
Context triple: [The Black Angels, formerMember, Kyle Hunt]
  • A. Kyle Hunt chosen
    Kyle Hunt is a musician best known as a member of the American psychedelic rock band The Black Angels.
  • B. Jonathan Hunt
    Jonathan Hunt was a prominent early 19th-century American politician and lawyer from Vermont who served multiple terms in the U.S. House of Representatives.
  • C. Dan Hunt
    Dan Hunt is an American soccer executive and co-owner of FC Dallas, known for leading the Major League Soccer club founded by his family.
  • D. Aaron Burckhard
    Aaron Burckhard is an American drummer best known as one of the earliest drummers for the grunge band Nirvana during its formative years.
  • E. Daniel Hunt
    Daniel Hunt is a notable member of the Hunt family, recognized for his prominence and contributions associated with the family’s legacy.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cdd7b3c8190afd237cd9b633d4d completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a93dd948190aeb24c7c50e2f323 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:52 p.m.