Triple

T17839147
Position Surface form Disambiguated ID Type / Status
Subject Valentina Brodsky E445472 entity
Predicate residenceDuringLaterYearsOfSpouse P129375 FINISHED
Object France NE NERFINISHED

How this triple was built (3 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: France | Statement: [Valentina Brodsky, residenceDuringLaterYearsOfSpouse, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: France
Context triple: [Valentina Brodsky, residenceDuringLaterYearsOfSpouse, France]
  • A. France chosen
    France is a major Western European nation known for its influential history, culture, and economy, and as a founding member of the European Union and the United Nations.
  • B. La France
    La France is a renowned sculpture by French artist Antoine Bourdelle that powerfully symbolizes the spirit and identity of France.
  • C. Francia
    Francia is the surname of American rower and two-time Olympic gold medalist Susan Francia.
  • D. Pays Royannais
    Pays Royannais is a coastal area in southwestern France centered around the town of Royan, known for its seaside resorts and Atlantic beaches.
  • E. de France
    "de France" is a dynastic surname historically used by members of the French royal family, particularly the legitimate children of reigning kings of France.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: residenceDuringLaterYearsOfSpouse
Context triple: [Valentina Brodsky, residenceDuringLaterYearsOfSpouse, France]
  • A. residenceDuringMarriage
    Indicates the place where spouses lived or maintained their home during the period of their marriage.
  • B. afterMarriageResidence
    Indicates the place or arrangement where individuals live following their marriage.
  • C. residenceBeforeMarriage
    Indicates that an individual lived at a particular residence prior to their marriage.
  • D. spouseCountryOfCitizenship
    Indicates the country in which a person's spouse holds legal citizenship.
  • E. spouseLaterMarriedBy
    Indicates that one’s spouse subsequently entered into a later marriage with another partner.
  • F. None of above. chosen

Provenance (4 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d2a570c81909787296bde7e795c completed April 19, 2026, 8:07 a.m.
PD Predicate disambiguation batch_69e3d8e266888190ae976b4b7d5b886f completed April 18, 2026, 7:17 p.m.
PDg Predicate description generation batch_69e3f022ec448190a9bf191be1c5f570 completed April 18, 2026, 8:57 p.m.
Created at: April 10, 2026, 10:16 a.m.