Triple

T23220405
Position Surface form Disambiguated ID Type / Status
Subject William Archibald E580873 entity
Predicate notableWork P4 FINISHED
Object The Innocents 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 Innocents | Statement: [William Archibald, notableWork, The Innocents]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Innocents
Context triple: [William Archibald, notableWork, The Innocents]
  • A. 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."
  • B. 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.
  • C. The Innocents
    The Innocents is a novel by British author Margery Sharp, best known for its poignant portrayal of family dynamics and moral complexity.
  • 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 (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_69e2460389408190be74f41d217799a9 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1916870148190853874e6cf26bbc7 completed April 29, 2026, 5:04 a.m.
Created at: April 17, 2026, 4:08 p.m.