Triple

T22518879
Position Surface form Disambiguated ID Type / Status
Subject Gabor Theatre (stage appearances) E556719 entity
Predicate hasBiographicalContext P75959 FINISHED
Object career of Magda Gabor 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: career of Magda Gabor | Statement: [Gabor Theatre (stage appearances), hasBiographicalContext, career of Magda Gabor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBiographicalContext
Context triple: [Gabor Theatre (stage appearances), hasBiographicalContext, career of Magda Gabor]
  • A. hasBiographicalPerspective
    Indicates that one entity presents, analyzes, or frames another entity from a biographical point of view, focusing on life history or personal background.
  • B. hasBiographicalTheme chosen
    Indicates that something (such as a work, text, or content) centers on or significantly involves biographical subject matter, such as a person’s life, experiences, or personal history.
  • C. hasBiographicalStyle
    Indicates that something is characterized by or presented in a biographical manner or style.
  • D. hasBiographicalWork
    Indicates that there exists a biographical work (such as a book, article, or film) whose subject is the given entity.
  • E. hasWidelyDocumentedBiography
    Indicates that extensive, reliable biographical information about the entity has been widely recorded and made publicly available.
  • 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_69e11e5657e881909f16ca58352c50da completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15e30a96081909b8511d525518da1 completed April 29, 2026, 1:26 a.m.
PD Predicate disambiguation batch_69ee625e3b408190a60c759fb0b28fe2 completed April 26, 2026, 7:07 p.m.
Created at: April 16, 2026, 8:50 p.m.