Triple

T1725237
Position Surface form Disambiguated ID Type / Status
Subject Misery E37480 entity
Predicate followedBy P78 FINISHED
Object The Tommyknockers E192777 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 Tommyknockers | Statement: [Misery, followedBy, The Tommyknockers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Tommyknockers
Context triple: [Misery, followedBy, The Tommyknockers]
  • A. The Tommyknockers chosen
    The Tommyknockers is a 1987 science fiction–horror novel by Stephen King about a small town transformed and corrupted after the discovery of a buried alien spacecraft.
  • B. Spirit of the Dead Watching
    Spirit of the Dead Watching is a 1892 Symbolist painting by Paul Gauguin depicting a young Tahitian girl lying fearfully on her bed while a mysterious, ghostly figure looms in the background.
  • C. Salem's Lot
    Salem's Lot is a horror novel by Stephen King about a small town slowly overtaken by vampires.
  • D. NOS4A2
    NOS4A2 is a horror novel by Joe Hill that follows a woman with a supernatural gift as she confronts a child-abducting immortal who feeds on souls in a twisted Christmas-themed realm.
  • E. The Mangler
    The Mangler is a horror short story by Stephen King about a possessed industrial laundry machine that becomes the source of gruesome deaths.
  • 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_69ada0d58cd08190bdda9f03ca458081 completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:30 p.m.