Triple

T21303338
Position Surface form Disambiguated ID Type / Status
Subject Michael J. Hurley E525124 entity
Predicate hasNameVariant P457 FINISHED
Object Michael Hurley 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: Michael Hurley | Statement: [Michael J. Hurley, hasNameVariant, Michael Hurley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Hurley
Context triple: [Michael J. Hurley, hasNameVariant, Michael Hurley]
  • A. Michael Hurley chosen
    Michael Hurley is an American folk singer-songwriter and artist known for his idiosyncratic, offbeat style and influential contributions to the 1960s and 1970s underground folk scene.
  • B. Philip Dorn
    Philip Dorn was a Dutch-born actor known for his roles in Hollywood films of the 1940s, often portraying dignified European characters.
  • C. Dave Lovelady
    Dave Lovelady is an English musician best known as the drummer and a founding member of the 1960s Merseybeat band The Fourmost.
  • D. Michael Chapman
    Michael Chapman was an acclaimed American cinematographer best known for his influential work on landmark films of the 1970s and 1980s, particularly in collaboration with director Martin Scorsese.
  • E. Gene Lyons
    Gene Lyons was an American character actor best known for his television work in the 1950s and 1960s.
  • 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_69e0b518b8948190ad69cf9a8784d397 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385da340819083c07f353f2142b0 completed April 21, 2026, 8:42 a.m.
Created at: April 16, 2026, 4:05 p.m.