Triple

T12369561
Position Surface form Disambiguated ID Type / Status
Subject Michael Redgrave E294964 entity
Predicate notableWork P4 FINISHED
Object The Innocents E714173 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 Innocents | Statement: [Michael Redgrave, notableWork, The Innocents]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Innocents
Context triple: [Michael Redgrave, notableWork, The Innocents]
  • A. The Innocents
    The Innocents is a critically acclaimed 1988 synth-pop album by Erasure, featuring some of the duo’s most popular and enduring songs.
  • B. The Innocents
    The Innocents is a novel by British author Margery Sharp, best known for its poignant portrayal of family dynamics and moral complexity.
  • C. The Innocents chosen
    The Innocents is a 1961 British psychological horror film, acclaimed for its atmospheric cinematography and chilling adaptation of Henry James's novella "The Turn of the Screw."
  • D. The Bad Seed
    The Bad Seed is a 1956 American psychological horror-drama film about a seemingly perfect little girl who may be a remorseless killer.
  • E. Haunting of the Innocent
    Haunting of the Innocent is a low-budget American horror film centered on a family plagued by a violent supernatural presence in a small town.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa65a608190a1597a49751185a8 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62abdad1c8190b083791d60138f2a completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:54 p.m.