Triple

T6331125
Position Surface form Disambiguated ID Type / Status
Subject Allison Tolman E142382 entity
Predicate notableWork P4 FINISHED
Object Krampus (film) E105703 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: Krampus (film) | Statement: [Allison Tolman, notableWork, Krampus (film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krampus (film)
Context triple: [Allison Tolman, notableWork, Krampus (film)]
  • A. Krampus (2015 film) chosen
    Krampus (2015 film) is a 2015 horror-comedy movie that blends dark folklore and holiday themes, following a dysfunctional family terrorized by the demonic Christmas figure Krampus.
  • B. Krampus
    Krampus is a horned, demonic figure from Central European folklore who punishes misbehaving children during the Christmas season, often appearing alongside Saint Nicholas.
  • C. Krampus: Shadow of Saint Nicholas
    Krampus: Shadow of Saint Nicholas is a horror-comedy graphic novel that expands on the dark folklore of Krampus through interconnected holiday-themed tales.
  • D. Klaus
    Klaus is a masculine given name of German origin commonly used in German-speaking countries.
  • E. The Witch
    The Witch is a 2015 atmospheric horror film set in 17th-century New England that follows a Puritan family menaced by sinister forces in the wilderness.
  • 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_69c008d4d8e88190ad301c05b08722ac completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06514cbe8819096dbeb17ccb3e3d5 completed March 22, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6041aac948190ad7dd4d5683903ed completed March 27, 2026, 4:14 a.m.
Created at: March 22, 2026, 4:30 p.m.