Triple

T8450147
Position Surface form Disambiguated ID Type / Status
Subject Henry Deaver E199779 entity
Predicate appearsIn P795 FINISHED
Object Castle Rock E103959 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 | Statement: [Henry Deaver, appearsIn, Castle Rock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castle Rock
Context triple: [Henry Deaver, appearsIn, Castle Rock]
  • A. 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.
  • B. Castle Rock chosen
    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.
  • C. Castle Rock
    Castle Rock is the prominent volcanic crag in Edinburgh that forms the dramatic natural foundation of Edinburgh Castle.
  • D. Castle Rock
    Castle Rock is a prominent sandstone outcrop in Nottingham, England, historically significant as the elevated site on which Nottingham Castle was built.
  • E. Castle Rock, Maine
    Castle Rock, Maine is a fictional small town in Stephen King’s works, known as the setting for many of his horror and suspense stories.
  • 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_69ca8318231881908fd1bc1c4d45d286 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe44707b88190b3d8b30c45ef4496 completed March 31, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39c11a488190b7775002e419eee7 completed April 2, 2026, 9:41 a.m.
Created at: March 30, 2026, 6:09 p.m.