Triple

T10312079
Position Surface form Disambiguated ID Type / Status
Subject Gary Lucchesi E241915 entity
Predicate notableWork P4 FINISHED
Object The Bodyguard E3174 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: The Bodyguard | Statement: [Gary Lucchesi, notableWork, The Bodyguard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Bodyguard
Context triple: [Gary Lucchesi, notableWork, The Bodyguard]
  • A. The Bodyguard chosen
    The Bodyguard is a 1992 romantic thriller film starring Kevin Costner and Whitney Houston, featuring Houston’s iconic performance and hit soundtrack including “I Will Always Love You.”
  • B. Bodyguard
    "Bodyguard" is a song from Beyoncé's genre-blending 2024 album *Cowboy Carter*, showcasing her fusion of country, R&B, and pop influences.
  • C. Bodyguard
    Bodyguard is a British political thriller television series that follows a troubled war veteran assigned to protect a high-profile government minister amid escalating security and conspiracy tensions.
  • D. The Bodyguard (stage play)
    The Bodyguard is a stage musical adaptation of the 1992 Whitney Houston film, featuring a pop-driven score and a suspenseful romantic storyline.
  • E. Waiting to Exhale
    Waiting to Exhale is a 1995 romantic drama film, based on Terry McMillan’s novel, that follows the intertwined lives and relationships of four African-American women.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d32b85288190a11e09a0ab80d66c completed April 7, 2026, 9:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d801978819097293b5c98350fef completed April 9, 2026, 3:31 a.m.
Created at: April 6, 2026, 11:48 a.m.