Triple

T8371713
Position Surface form Disambiguated ID Type / Status
Subject Abwehr E197474 entity
Predicate directorStartTime P2488 FINISHED
Object 1935 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: 1935 | Statement: [Abwehr, directorStartTime, 1935]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: directorStartTime
Context triple: [Abwehr, directorStartTime, 1935]
  • A. directorStartYear chosen
    Indicates the year in which an individual began serving as a director (e.g., of a film, organization, or project).
  • B. directorSince
    Indicates that one entity has held the role of director for another entity starting from a specified point in time.
  • C. featureDirectorialDebutOf
    Indicates that a work (typically a film) serves as the first directorial effort of a particular director.
  • D. filmDebut
    Indicates the first film in which an entity (typically a person) appeared or participated, marking their initial entry into film work.
  • E. workedAsDirectorFor
    Indicates that one entity held the role of director in relation to another entity, such as an organization, project, or production.
  • 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_69ca82f56730819080cec5d991c76f4c completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80a509dc81909e0ea4c66b21d84f completed March 31, 2026, 8:07 a.m.
PD Predicate disambiguation batch_69cb70cd04b08190ab5f72afd22a7967 completed March 31, 2026, 6:59 a.m.
Created at: March 30, 2026, 6:01 p.m.