Triple

T20224040
Position Surface form Disambiguated ID Type / Status
Subject Mia (Love Actually) E495328 entity
Predicate musicAssociatedScene P69477 FINISHED
Object office Christmas party scene LITERAL 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: office Christmas party scene | Statement: [Mia (Love Actually), musicAssociatedScene, office Christmas party scene]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: musicAssociatedScene
Context triple: [Mia (Love Actually), musicAssociatedScene, office Christmas party scene]
  • A. musicalScene
    Indicates a relationship where a scene in a work prominently features musical performance or music-driven action.
  • B. associatedWithGenreScene
    Indicates that an entity is connected or related to a particular genre scene, such as a specific stylistic or cultural subcommunity within a broader genre.
  • C. musicSceneRole
    Indicates the specific function or position an entity holds within a particular music scene or musical community.
  • D. musicUsed chosen
    Indicates that one entity makes use of or incorporates another entity as music, such as in a performance, production, or media context.
  • E. musicForModernScreeningsBy
    Indicates that the associated entity is the creator or provider of music specifically composed or arranged for modern screenings of a work (such as a film or silent movie).
  • F. None of above.

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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66fd827708190b798a30f4e7d533f completed April 20, 2026, 6:26 p.m.
PD Predicate disambiguation batch_69e55b18609481909ab28bc8750a642f completed April 19, 2026, 10:45 p.m.
Created at: April 11, 2026, 11:39 p.m.