Triple

T17696922
Position Surface form Disambiguated ID Type / Status
Subject Good Works E441194 entity
Predicate appearsIn P795 FINISHED
Object Everyman 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: Everyman | Statement: [Good Works, appearsIn, Everyman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Everyman
Context triple: [Good Works, appearsIn, Everyman]
  • A. Everyman chosen
    Everyman is a stock character archetype representing an ordinary, relatable person placed in extraordinary or challenging situations.
  • B. 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.
  • C. For Everyman
    For Everyman is a 1973 folk-rock album by American singer-songwriter Jackson Browne, noted for its introspective lyrics and reflective, melodic sound.
  • D. The Travelling Players
    The Travelling Players is a 1975 Greek historical drama film by Theo Angelopoulos that follows a troupe of actors touring Greece while the nation undergoes turbulent political upheavals from the 1930s to the 1950s.
  • E. Lord Ordinary
    Lord Ordinary is the title given to a judge who sits in the Outer House of Scotland’s supreme civil court, the Court of Session.
  • 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47157fd688190ba990eaf46ceab01 completed April 19, 2026, 6:08 a.m.
Created at: April 10, 2026, 10:04 a.m.