Triple

T18287089
Position Surface form Disambiguated ID Type / Status
Subject Arthel Lane Watson E438010 entity
Predicate influenced P9 FINISHED
Object Norman Blake 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: Norman Blake | Statement: [Arthel Lane Watson, influenced, Norman Blake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norman Blake
Context triple: [Arthel Lane Watson, influenced, Norman Blake]
  • A. Norman Blake chosen
    Norman Blake is an American acoustic guitarist and songwriter renowned for his influential work in bluegrass, folk, and Americana music.
  • B. Norman Rogers
    Norman Rogers, better known as Terminator X, is an American DJ and producer best known for his work with the influential hip hop group Public Enemy.
  • C. Norman Hammond
    Norman Hammond is a prominent British archaeologist and Mayanist scholar known for his extensive excavations and research on ancient Maya sites in Belize and elsewhere in Mesoamerica.
  • D. Norman Pike
    Norman Pike is a person notable enough to be recognized as a bearer of the surname Pike, though specific widely known achievements or roles are not clearly documented.
  • E. Norman Gay
    Norman Gay is a film editor best known for his work on the classic horror movie "The Exorcist."
  • 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e500faf62081908f16ebee0a195ba2 completed April 19, 2026, 4:21 p.m.
Created at: April 10, 2026, 10:35 a.m.