Triple

T22392053
Position Surface form Disambiguated ID Type / Status
Subject Paul Di'Anno E553533 entity
Predicate associatedAct P37 FINISHED
Object Killers NE NERFINISHED

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: Killers | Statement: [Paul Di'Anno, associatedAct, Killers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Killers
Context triple: [Paul Di'Anno, associatedAct, Killers]
  • A. Killers chosen
    Killers is Iron Maiden’s second studio album, known for its raw, aggressive sound and for solidifying the band’s early heavy metal style.
  • B. Live Killers
    Live Killers is a 1979 live album by the British rock band Queen, compiled from performances on their European Jazz Tour and known for capturing the band's energetic stage presence.
  • C. Great Kills
    Great Kills is a residential neighborhood on Staten Island’s South Shore known for its marina, waterfront parks, and suburban character.
  • D. Those Who Kill
    Those Who Kill is an American crime drama television series centered on a homicide detective and a forensic psychiatrist who track and profile serial killers.
  • E. The Killer
    The Killer is a 1989 Hong Kong action film renowned for its stylized gunplay, emotional depth, and influential blend of heroic bloodshed and crime drama.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4cf87c8190a1ff474daec326b7 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1585c16188190872e75caeb86c328 completed April 29, 2026, 1:01 a.m.
Created at: April 16, 2026, 8:45 p.m.