Triple

T10169747
Position Surface form Disambiguated ID Type / Status
Subject Edward Lewis E235298 entity
Predicate notableWork P4 FINISHED
Object The Drowning Pool E121948 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: The Drowning Pool | Statement: [Edward Lewis, notableWork, The Drowning Pool]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Drowning Pool
Context triple: [Edward Lewis, notableWork, The Drowning Pool]
  • A. The Drowning Pool chosen
    The Drowning Pool is a 1975 neo-noir mystery film starring Paul Newman as private detective Lew Harper, adapted from Ross Macdonald’s novel of the same name.
  • B. The Dead Pool
    The Dead Pool is a 1988 action thriller film in the Dirty Harry series, starring Clint Eastwood as Inspector Harry Callahan investigating a deadly celebrity death game.
  • C. The Indestructible Man
    The Indestructible Man is a 1956 American science fiction horror film starring Lon Chaney Jr. as a resurrected criminal seeking revenge.
  • D. The Man from Limbo
    The Man from Limbo is a novel by American writer Guy Endore, best known for its blend of psychological drama and social commentary.
  • E. The Phantom
    The Phantom is the main terrorist antagonist in the 2008 Adam Sandler comedy film "You Don’t Mess with the Zohan."
  • 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_69ca84ceafd0819085828600e11bed6b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdec9ba56481908b5265aea8ea8cbe completed April 2, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d300f7aafc8190be874efc755bd188 completed April 6, 2026, 12:40 a.m.
Created at: March 30, 2026, 9:10 p.m.