Triple

T22485536
Position Surface form Disambiguated ID Type / Status
Subject Dave Schools E555867 entity
Predicate associatedAct P37 FINISHED
Object The Dead — 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: The Dead | Statement: [Dave Schools, associatedAct, The Dead]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Dead
Context triple: [Dave Schools, associatedAct, The Dead]
  • A. The Dead
    "The Dead" is a 1987 drama film directed by John Huston, adapted from James Joyce’s short story, and widely regarded as one of his most poignant and acclaimed final works.
  • B. The Dead chosen
    The Dead was a post-Jerry Garcia incarnation of the Grateful Dead, featuring surviving members of the band performing their classic repertoire in the 2000s.
  • C. The Dead
    "The Dead" is a World War I poem by English poet Rupert Brooke that idealizes the noble sacrifice of fallen soldiers.
  • D. Pity the Dead
    "Pity the Dead" is a politically charged punk rock song by Bad Religion from their 1996 album *The Gray Race*, reflecting on war, mortality, and societal apathy.
  • E. Among the Dead
    "Among the Dead" is a darkly comic novel by Michael Tolkin that explores guilt, faith, and moral reckoning through the story of a man confronting his past after surviving a plane crash.
  • 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_69e11e53897c819088863779f8c50bb0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15c3c6d808190b6dc70c3d1985bf3 completed April 29, 2026, 1:17 a.m.
Created at: April 16, 2026, 8:49 p.m.