Triple

T21160138
Position Surface form Disambiguated ID Type / Status
Subject Moonraker (film) score E521416 entity
Predicate includesActionCues P103325 FINISHED
Object yes 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: yes | Statement: [Moonraker (film) score, includesActionCues, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesActionCues
Context triple: [Moonraker (film) score, includesActionCues, yes]
  • A. hasCue chosen
    Indicates that one entity provides, contains, or is associated with a signal or prompt that can guide or trigger another entity’s behavior or response.
  • B. includesActionSequence
    Indicates that one entity contains or encompasses a specific ordered sequence of actions as part of its structure or definition.
  • C. includesQuickAction
    Indicates that one entity contains or provides an embedded quick action that can be performed directly within it.
  • D. includesInstruction
    Indicates that one entity contains, provides, or embeds an instruction or set of instructions directed toward another entity.
  • E. frameOfAction
    Indicates the contextual situation, setting, or circumstances within which an action or event takes place.
  • 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_69e0b50d1ea481909c07e63c3ead9316 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7252f70888190b8e6109cc4099ecc completed April 21, 2026, 7:20 a.m.
PD Predicate disambiguation batch_69e5f5f8a5bc819081918c7fa8e4496d completed April 20, 2026, 9:46 a.m.
Created at: April 16, 2026, 2:59 p.m.