Triple

T18177427
Position Surface form Disambiguated ID Type / Status
Subject Heller E435198 entity
Predicate hasNotableBearer P458 FINISHED
Object Peter Heller NE NERFINISHED

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: Peter Heller | Statement: [Heller, hasNotableBearer, Peter Heller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Heller
Context triple: [Heller, hasNotableBearer, Peter Heller]
  • A. Peter Heller chosen
    Peter Heller is a British DJ, remixer, and record producer best known for his influential work in house music during the 1990s and 2000s.
  • B. Nathan Barr
    Nathan Barr is an American film and television composer known for his atmospheric scores on projects ranging from horror films to acclaimed series like True Blood and The Americans.
  • C. Jim Holland
    Jim Holland is the husband of Zimbabwean politician and human rights activist Sekai Holland.
  • D. Peter Kerr
    Peter Kerr was a 19th-century architect best known for designing Melbourne's Parliament House, a landmark of Victorian-era civic architecture in Australia.
  • E. Ryan Haddon
    Ryan Haddon is an American journalist, television producer, and presenter known for her work on various entertainment and news programs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df5a72008190bd2e56205b995a87 completed April 19, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:31 a.m.