Triple

T10918782
Position Surface form Disambiguated ID Type / Status
Subject The Haxan Cloak E257889 entity
Predicate hasFilmScore P57302 FINISHED
Object Consumed E894493 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: Consumed | Statement: [The Haxan Cloak, hasFilmScore, Consumed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Consumed
Context triple: [The Haxan Cloak, hasFilmScore, Consumed]
  • A. Consumed chosen
    "Consumed" is a dark, atmospheric track by experimental electronic producer The Haxan Cloak, known for its ominous sound design and immersive, cinematic intensity.
  • B. "Consumed"
    "Consumed" is an episode of the television series The Walking Dead that prominently centers on the character Carol Peletier and her emotional and physical journey.
  • C. Swallowed
    Swallowed is a 1994 song by the British rock band Bush, known for its grunge-influenced sound and success on alternative rock charts.
  • D. Chewed Up
    Chewed Up is a stand-up comedy special by Louis C.K. known for its dark, candid humor and incisive social commentary.
  • E. Burnt
    Burnt is a 2015 drama-comedy film about a talented but troubled chef seeking redemption in the high-pressure world of haute cuisine.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77080317881909fc50ac3576cefa8 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23bbf70688190be9315a75582dbe2 completed April 17, 2026, 1:55 p.m.
Created at: April 8, 2026, 9:22 p.m.