Triple

T12656917
Position Surface form Disambiguated ID Type / Status
Subject Portrait of Martha Washington E302306 entity
Predicate subjectPositionHeld P8 FINISHED
Object First Lady of the United States 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: First Lady of the United States | Statement: [Portrait of Martha Washington, subjectPositionHeld, First Lady of the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: subjectPositionHeld
Context triple: [Portrait of Martha Washington, subjectPositionHeld, First Lady of the United States]
  • A. positionHeld chosen
    Indicates that an entity occupies or has occupied a specific role, job, office, or position within an organization or context.
  • B. hasPoliticalPositionOn
    Indicates that an entity holds or expresses a specific stance, view, or opinion regarding a political issue, policy, or topic.
  • C. stateOfPoliticalOffice
    Indicates the political office or governmental position currently held or associated with an entity.
  • D. memberHoldsOffice
    Indicates that a member occupies or serves in a specific official position or office within an organization or governing body.
  • E. positionHeldInTheLegislativeBody
    Indicates that an entity holds or has held a specific official role or seat within a legislative body.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9617b07ec8190b714f04ae6654060 completed April 10, 2026, 8:45 p.m.
PD Predicate disambiguation batch_69d960b78ce8819091f15dd5013e6da5 completed April 10, 2026, 8:42 p.m.
Created at: April 9, 2026, 5:18 p.m.