Triple

T12782566
Position Surface form Disambiguated ID Type / Status
Subject Years Gone By E305542 entity
Predicate hasTrack P3284 FINISHED
Object Killing Floor E415260 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: Killing Floor | Statement: [Years Gone By, hasTrack, Killing Floor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Killing Floor
Context triple: [Years Gone By, hasTrack, Killing Floor]
  • A. Killing Floor
    Killing Floor is a bestselling thriller novel by Lee Child that introduces former military policeman Jack Reacher as he investigates a deadly conspiracy in a small Georgia town.
  • B. Killing Floor chosen
    "Killing Floor" is a classic Chicago blues song by Howlin' Wolf, renowned for its powerful riff and lasting influence on rock and blues music.
  • C. Killshot
    Killshot is a crime novel by Elmore Leonard that follows a married couple targeted by a pair of hitmen, blending dark humor with tense, character-driven suspense.
  • D. The Killing Floor
    The Killing Floor is a 1984 American television drama film about African American stockyard workers in 1910s Chicago and their struggle to unionize amid racial tensions.
  • E. The Surge
    The Surge is the nickname of the Wichita Wind Surge, a Minor League Baseball team based in Wichita, Kansas.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e5b52048190b279b7ad066efe9f completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68504c95081909dc52cc02e43e8ba completed May 2, 2026, 11:13 p.m.
Created at: April 9, 2026, 5:29 p.m.