Triple

T5140394
Position Surface form Disambiguated ID Type / Status
Subject Dig-Dig-Dig Dig For Your Dinner E115932 entity
Predicate cinematicContext P61780 FINISHED
Object song-and-dance sequence 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: song-and-dance sequence | Statement: [Dig-Dig-Dig Dig For Your Dinner, cinematicContext, song-and-dance sequence]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cinematicContext
Context triple: [Dig-Dig-Dig Dig For Your Dinner, cinematicContext, song-and-dance sequence]
  • A. cinematographyBy
    Indicates that the cinematographic work (such as the camera work or visual style of a film or video) is created or supervised by a specified person or entity.
  • B. filmReleaseContext
    Indicates the circumstances or setting (such as time, place, or format) under which a film is released.
  • C. filmSetting
    Indicates the place, time, or environment in which the events of a film are set or take place.
  • D. theatricalContext
    Indicates the situational or environmental circumstances related to a theatrical performance or production in which an action or relationship occurs.
  • E. cinemaInfluence
    Indicates how one entity affects or shapes another through the medium of cinema, such as films, filmmaking, or cinematic culture.
  • F. None of above. chosen

Provenance (4 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_69bd44459a988190a772a5c2ec6a1965 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd78d7f4d081908d59adcd86f52f1d completed March 20, 2026, 4:42 p.m.
PD Predicate disambiguation batch_69bd77ae2f10819098bb8939106e1281 completed March 20, 2026, 4:37 p.m.
PDg Predicate description generation batch_69bd78d6a1388190804dcf568ca92129 completed March 20, 2026, 4:41 p.m.
Created at: March 20, 2026, 1:43 p.m.