Triple

T9936340
Position Surface form Disambiguated ID Type / Status
Subject Nick Andros E192768 entity
Predicate firstAppearance P795 FINISHED
Object The Stand (1978) E37259 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 Stand (1978) | Statement: [Nick Andros, firstAppearance, The Stand (1978)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Stand (1978)
Context triple: [Nick Andros, firstAppearance, The Stand (1978)]
  • 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. Salem's Lot
    Salem's Lot is a horror novel by Stephen King about a small town slowly overtaken by vampires.
  • C. The Shining
    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.
  • D. The Shining
    "The Shining" is a track by American rapper Vince Staples that showcases his dark, introspective lyricism over moody, atmospheric production.
  • E. The Stand-Up
    The Stand-Up is a Russian film featuring Svetlana Khodchenkova in a prominent role, blending elements of drama and comedy around the world of stand-up comedy.
  • 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_69ca82dd978c8190947124ab0d3315ac completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5e3bfa88190a88f20f2687a2583 completed April 2, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3171f23d08190a5f9cd2c3d139a0e completed April 6, 2026, 2:14 a.m.
Created at: March 30, 2026, 8:44 p.m.