Triple

T19752580
Position Surface form Disambiguated ID Type / Status
Subject Lucinda Jenney E474416 entity
Predicate notableWork P4 FINISHED
Object The Stand 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 Stand | Statement: [Lucinda Jenney, notableWork, The Stand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Stand
Context triple: [Lucinda Jenney, notableWork, The Stand]
  • A. The Stand chosen
    The Stand is a post-apocalyptic horror novel by Stephen King that follows survivors of a devastating plague as they become embroiled in an epic battle between good and evil.
  • B. The Standpipe
    The Standpipe is a prominent historic water tower and local landmark in the fictional town of Derry, Maine, featured in Stephen King’s works.
  • C. The Dark Tower (novel)
    The Dark Tower is the final book in Stephen King’s epic dark fantasy series, concluding Roland Deschain’s quest to reach the mysterious Dark Tower that stands at the nexus of all universes.
  • D. The Dark Tower
    The Dark Tower is a 1946 radio play by poet Louis MacNeice, noted for its allegorical, dreamlike exploration of fate and heroism.
  • E. The Dark Tower
    The Dark Tower is a 2017 fantasy western film adaptation of Stephen King’s epic book series, blending horror, science fiction, and dark fantasy elements around a mysterious tower that anchors the universe.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6529bcb8c8190bcca61a53be86757 completed April 20, 2026, 4:21 p.m.
Created at: April 10, 2026, 1:48 p.m.