Triple

T19848495
Position Surface form Disambiguated ID Type / Status
Subject Carla Hayden E476933 entity
Predicate name P16 FINISHED
Object Carla Hayden NE NERFINISHED

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: Carla Hayden | Statement: [Carla Hayden, name, Carla Hayden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carla Hayden
Context triple: [Carla Hayden, name, Carla Hayden]
  • A. Kathryn P. Hire
    Kathryn P. Hire is a retired U.S. Navy captain and NASA astronaut who flew on two Space Shuttle missions, contributing to microgravity and Earth-observation research.
  • B. Librarian of Congress Carla Hayden chosen
    Librarian of Congress Carla Hayden is an American librarian and administrator who became the first woman and first African American to lead the Library of Congress.
  • C. Elinor Quarles
    Elinor Quarles is a central fictional character in Aldous Huxley’s novel "Point Counter Point," representing the emotional and moral complexities of modern relationships.
  • D. Gail J. McGovern
    Gail J. McGovern is an American business executive and nonprofit leader best known for serving as president and CEO of the American Red Cross.
  • E. Betsy Hassett
    Betsy Hassett is a New Zealand international footballer and midfielder who has represented her country at multiple FIFA Women’s World Cups and Olympic Games.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658664368819082783bc40342a26a completed April 20, 2026, 4:46 p.m.
Created at: April 10, 2026, 1:51 p.m.