Triple

T9437663
Position Surface form Disambiguated ID Type / Status
Subject Clyde Jackson Browne E227554 entity
Predicate notableWork P4 FINISHED
Object For Everyman E198339 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: For Everyman | Statement: [Clyde Jackson Browne, notableWork, For Everyman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: For Everyman
Context triple: [Clyde Jackson Browne, notableWork, For Everyman]
  • A. For Everyman chosen
    For Everyman is a 1973 folk-rock album by American singer-songwriter Jackson Browne, noted for its introspective lyrics and reflective, melodic sound.
  • B. Everyman
    Everyman is a stock character archetype representing an ordinary, relatable person placed in extraordinary or challenging situations.
  • C. Everyman
    Everyman is a 2006 short novel by Philip Roth that meditates on aging, illness, and mortality through the life story of an unnamed advertising executive.
  • D. The Man
    The Man is a film featuring actor Richard Gant in a significant role.
  • E. The Man
    "The Man" is a 2017 funk-influenced rock single by American band The Killers, known for its swaggering, self-confident lyrics and bold, retro sound.
  • 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7edff5e881909b72976e8909ba4b completed April 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d11053d8008190a29575149d2e027f completed April 4, 2026, 1:21 p.m.
Created at: March 30, 2026, 7:50 p.m.