Triple

T763773
Position Surface form Disambiguated ID Type / Status
Subject Christopher Walken E16128 entity
Predicate notableWork P4 FINISHED
Object The Dead Zone E37483 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 Dead Zone | Statement: [Christopher Walken, notableWork, The Dead Zone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Dead Zone
Context triple: [Christopher Walken, notableWork, The Dead Zone]
  • A. The Dead Zone chosen
    The Dead Zone is a 1979 supernatural thriller novel by Stephen King about a man who awakens from a coma with psychic abilities that force him into a moral confrontation over a dangerous political figure.
  • B. The Stand
    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.
  • 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. Salem's Lot
    Salem's Lot is a horror novel by Stephen King about a small town slowly overtaken by vampires.
  • 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_69a493684ee48190bd43b7c78da4aec8 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a69c8c448190a036a04fd8fdd2c2 completed March 1, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69a65e46d86c81908bc0ea469ccb091d completed March 3, 2026, 4:06 a.m.
Created at: March 1, 2026, 7:37 p.m.