Triple

T14045598
Position Surface form Disambiguated ID Type / Status
Subject Lungs E337947 entity
Predicate hasPart P35 FINISHED
Object Kiss with a Fist E1076601 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: Kiss with a Fist | Statement: [Lungs, hasPart, Kiss with a Fist]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiss with a Fist
Context triple: [Lungs, hasPart, Kiss with a Fist]
  • A. Kiss with a Fist chosen
    "Kiss with a Fist" is a punk-influenced indie rock song by Florence and the Machine, known for its raw, metaphorical take on a tumultuous relationship.
  • B. Crying Fist
    Crying Fist is a 2005 South Korean sports drama film about two troubled men who enter an amateur boxing competition to turn their lives around.
  • C. Rose in the Fist
    Rose in the Fist was a short-lived Italian centre-left electoral alliance formed in the mid-2000s that brought together liberal and socialist forces.
  • D. Kick in the Teeth
    "Kick in the Teeth" is a hard-hitting rock song by American band Papa Roach, known for its aggressive energy and themes of resilience.
  • E. Kiss of Death
    Kiss of Death is a 1947 American film noir crime drama best known for its gritty realism and Richard Widmark’s chilling debut performance as a sadistic villain.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de312df37081909f45ce3e219af5dc completed April 14, 2026, 12:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb65c1a90819097754497f07f5312 completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:20 p.m.