Triple

T8107318
Position Surface form Disambiguated ID Type / Status
Subject Elle (La voix humaine) E189258 entity
Predicate stagePresence P31835 FINISHED
Object only character on stage 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: only character on stage | Statement: [Elle (La voix humaine), stagePresence, only character on stage]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stagePresence
Context triple: [Elle (La voix humaine), stagePresence, only character on stage]
  • A. statePresence
    Indicates that an entity exists, operates, or is present within a particular state or governmental jurisdiction.
  • B. globalPresence
    Indicates that an entity operates, is represented, or has a significant footprint across multiple countries or world regions.
  • C. mediaPresence
    Indicates the extent to which something is visible, represented, or covered within various media channels or platforms.
  • D. typeOfPresence chosen
    Indicates the manner or mode in which an entity is present or exists in relation to another entity, context, or environment.
  • E. airPresence
    Indicates that air is present in or around an entity, typically signifying that the entity contains, is surrounded by, or is exposed to air.
  • 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42f89dd481908f1a25e4b16a8fc8 completed March 31, 2026, 3:43 a.m.
PD Predicate disambiguation batch_69cb04a2ed1c8190b73562321ad688bc completed March 30, 2026, 11:17 p.m.
Created at: March 30, 2026, 5:32 p.m.