Triple

T20661468
Position Surface form Disambiguated ID Type / Status
Subject Needful Things E507768 entity
Predicate partOf P40 FINISHED
Object Castle Rock stories E805315 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: Castle Rock stories | Statement: [Needful Things, partOf, Castle Rock stories]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castle Rock stories
Context triple: [Needful Things, partOf, Castle Rock stories]
  • A. Castle Rock (TV series) chosen
    Castle Rock is a psychological horror anthology television series inspired by the interconnected stories of Stephen King, set in the fictional town of Castle Rock, Maine.
  • B. Castle Rock
    Castle Rock is the prominent volcanic crag in Edinburgh that forms the dramatic natural foundation of Edinburgh Castle.
  • C. Castle Rock
    Castle Rock is a prominent sandstone outcrop in Nottingham, England, historically significant as the elevated site on which Nottingham Castle was built.
  • D. Castle Rock
    Castle Rock is a rapidly growing commuter town in central Colorado known for its distinctive castle-shaped butte and family-oriented suburban character between Denver and Colorado Springs.
  • E. Castle Rock
    Castle Rock is a psychological horror television series inspired by the interconnected universe of Stephen King’s stories, released as an original program on Hulu.
  • 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b2f2ee4081908df9ba897c9dfc98 completed April 20, 2026, 11:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08cd5afe5081909e20b796dd9f0908 completed May 16, 2026, 8:02 p.m.
Created at: April 16, 2026, 11:44 a.m.