Triple

T17245014
Position Surface form Disambiguated ID Type / Status
Subject La Roux E418599 entity
Predicate notableWork P4 FINISHED
Object In for the Kill E1184752 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: In for the Kill | Statement: [La Roux, notableWork, In for the Kill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: In for the Kill
Context triple: [La Roux, notableWork, In for the Kill]
  • A. In for the Kill chosen
    "In for the Kill" is a synth-pop song by English duo La Roux, fronted by Elly Jackson, that became one of their breakthrough hits in 2009.
  • B. Seven Days to a Killing
    Seven Days to a Killing is a 1972 spy thriller novel by Clive Egleton, centered on a British intelligence officer whose son is kidnapped as part of a high-stakes blackmail plot.
  • C. A Vow to Kill
    A Vow to Kill is a 1995 made-for-television thriller film starring Julianne Phillips as a woman whose seemingly perfect marriage turns dangerously deadly.
  • D. Hard to Kill
    Hard to Kill is a 2006 studio album by American rapper Gucci Mane that helped establish his signature trap sound in the Atlanta hip-hop scene.
  • E. Hard to Kill
    Hard to Kill is a professional wrestling pay-per-view event produced annually by Impact Wrestling.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e22fb2c8190aea5d3872095bf46 completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170f5582c81908efb7a369a096aeb completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:39 a.m.