Triple

T14988879
Position Surface form Disambiguated ID Type / Status
Subject Journey's End E373778 entity
Predicate theatreSubject P66010 FINISHED
Object British Army officers 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: British Army officers | Statement: [Journey's End, theatreSubject, British Army officers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: theatreSubject
Context triple: [Journey's End, theatreSubject, British Army officers]
  • A. theatricalSubject chosen
    Indicates that an entity serves as the main focus, topic, or subject within a theatrical work, performance, or dramatic context.
  • B. theatre
    Indicates that an entity is a theater or is associated with theatrical performances or activities.
  • C. theatreOf
    Indicates that an event, action, or operation takes place within or is primarily associated with a particular theatre or venue.
  • D. partOfTheatre
    Indicates that one entity is a component, section, or subdivision of a theatre.
  • E. theater
    Indicates that an entity is a theater or is functioning in the role of a theater (a venue where performances or films are shown).
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7148a308190a687f4d0d61397c6 completed April 15, 2026, 12:08 a.m.
PD Predicate disambiguation batch_69de9a6169b48190a679609febd2d0e3 completed April 14, 2026, 7:49 p.m.
Created at: April 10, 2026, 2:53 a.m.