Triple

T25215242
Position Surface form Disambiguated ID Type / Status
Subject Clara Bowden E631809 entity
Predicate isSetInWorkContext P78942 FINISHED
Object late 20th-century London 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: late 20th-century London | Statement: [Clara Bowden, isSetInWorkContext, late 20th-century London]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isSetInWorkContext
Context triple: [Clara Bowden, isSetInWorkContext, late 20th-century London]
  • A. hasWorkContext
    Indicates that an entity is associated with a particular work-related situation, environment, or context in which it is relevant or applies.
  • B. usedInWorkSetIn
    Indicates that something (such as an element, motif, or device) is employed within a creative work whose narrative or content is set in a particular place or time.
  • C. appearsInWorkSetIn
    Indicates that an entity appears in a creative work whose narrative or setting takes place in a specified location or context.
  • D. setInWorkBy
    Indicates that something (such as a scene, event, or element) is situated or occurs within the context or setting of a particular work (such as a book, film, or other creative production).
  • E. hasWorkAsSetting chosen
    Indicates that a particular work (such as a story, film, or artwork) takes place in or uses a specified location, time, or environment as its setting.
  • 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_69e75a8d1aa48190a4320acd3654762c completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f47b8bd25c819089de15eac12cd285 completed May 1, 2026, 10:08 a.m.
PD Predicate disambiguation batch_69f44d849e7c81909945438f40e35362 completed May 1, 2026, 6:51 a.m.
Created at: April 21, 2026, 12:58 p.m.