Triple

T2627743
Position Surface form Disambiguated ID Type / Status
Subject Georgetown Visitation Academy E59159 entity
Predicate notableAlumniCharacteristic P4387 FINISHED
Object prominent American women in public life 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: prominent American women in public life | Statement: [Georgetown Visitation Academy, notableAlumniCharacteristic, prominent American women in public life]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableAlumniCharacteristic
Context triple: [Georgetown Visitation Academy, notableAlumniCharacteristic, prominent American women in public life]
  • A. hasNotableAlumniType chosen
    Indicates that an entity has notable alumni belonging to a specified category or type.
  • B. notableStudent
    Indicates that a person is a distinguished or particularly significant student of another individual or institution.
  • C. positionOfNotableAlumnus
    Indicates the professional role or office held by a notable alumnus in relation to an institution or organization.
  • D. notableStudentOrColleague
    Indicates that one entity is a notable student or professional colleague of another entity.
  • E. notablePersonnel
    Indicates that the subject has associated individuals who are particularly important, distinguished, or prominent in relation to it.
  • 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_69ab4ac558388190962492cd2e1b0ce6 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abdb0e7b888190bfa5d2e33f00ec0f completed March 7, 2026, 8 a.m.
PD Predicate disambiguation batch_69abd810d7f481908e81c305772c4c14 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:50 p.m.