Triple

T1725310
Position Surface form Disambiguated ID Type / Status
Subject Doctor Sleep E37482 entity
Predicate follows P134 FINISHED
Object The Shining E23201 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 Shining | Statement: [Doctor Sleep, follows, The Shining]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Shining
Context triple: [Doctor Sleep, follows, The Shining]
  • A. The Shining chosen
    The Shining is a 1977 horror novel by Stephen King that follows a troubled writer who becomes the winter caretaker of an isolated, malevolent hotel that slowly drives him to madness.
  • B. The Shining (1980 film)
    The Shining (1980 film) is Stanley Kubrick’s iconic psychological horror movie, starring Jack Nicholson and Shelley Duvall, about a family’s terrifying descent into madness at an isolated, haunted hotel.
  • C. Misery
    Misery is the first major section of the Heidelberg Catechism, focusing on humanity’s sinfulness and need for redemption.
  • D. Misery
    Misery is a psychological horror novel by Stephen King about a famous author held captive by his deranged “number one fan.”
  • E. Overlook
    Overlook is a residential neighborhood in North Portland, Oregon, known for its bluff-top views over the Willamette River and easy access to downtown.
  • 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_69a8861acab88190bb43cde203429399 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa635cad5481908e6c04a230d3b0bb completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada980ec888190b78726012e50c905 completed March 8, 2026, 4:53 p.m.
Created at: March 4, 2026, 7:30 p.m.