Triple

T8513524
Position Surface form Disambiguated ID Type / Status
Subject Gil Bellows E201513 entity
Predicate appearedIn P795 FINISHED
Object Love and a .45 E738691 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: Love and a .45 | Statement: [Gil Bellows, appearedIn, Love and a .45]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Love and a .45
Context triple: [Gil Bellows, appearedIn, Love and a .45]
  • A. Love and a .45 chosen
    Love and a .45 is a 1994 cult crime film blending dark humor and violent road-movie elements, starring Gil Bellows and Renée Zellweger as outlaw lovers on the run.
  • B. L’Amour menaçant
    L’Amour menaçant is an 18th-century Rococo marble sculpture by Étienne-Maurice Falconet depicting a mischievous Cupid poised to demand silence.
  • C. A Gunfight
    A Gunfight is a 1971 Western film starring Kirk Douglas and Johnny Cash that explores aging gunfighters facing one last deadly showdown staged as a public spectacle.
  • D. Maytime
    Maytime is a popular early 20th-century operetta, later adapted into films, known for its romantic story and memorable melodies.
  • E. L’Amour fou
    L’Amour fou is a seminal Surrealist text by André Breton that explores the concept of mad love as a revolutionary force in art and life.
  • 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_69ca8320e5748190ac2c585a0bba8193 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe60cdfcc819081a9be1229378ba0 completed March 31, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce88ec84208190ab72c8411e6cc4c2 completed April 2, 2026, 3:19 p.m.
Created at: March 30, 2026, 6:15 p.m.