Triple

T22518877
Position Surface form Disambiguated ID Type / Status
Subject Gabor Theatre (stage appearances) E556719 entity
Predicate mainSubjectCitizenship P22055 FINISHED
Object Hungarian-American 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: Hungarian-American | Statement: [Gabor Theatre (stage appearances), mainSubjectCitizenship, Hungarian-American]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainSubjectCitizenship
Context triple: [Gabor Theatre (stage appearances), mainSubjectCitizenship, Hungarian-American]
  • A. citizenshipIssue
    Indicates that there is a problem, dispute, or complication concerning an entity’s citizenship status or rights.
  • B. citizenshipContext
    Indicates the legal or social circumstances under which an entity holds or is granted citizenship in a particular state or jurisdiction.
  • C. definedCitizenship chosen
    Indicates that a formal citizenship status has been legally established or specified for an entity.
  • D. laterCitizenship
    Indicates that an entity acquired citizenship in a country or polity at a later point in time, after some earlier status or affiliation.
  • E. citizenshipType
    Indicates the specific legal category or status of an individual's citizenship in relation to a state or country.
  • 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.