Triple

T22866687
Position Surface form Disambiguated ID Type / Status
Subject Pierpont family E567073 entity
Predicate familyName P18 FINISHED
Object Pierpont 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: Pierpont | Statement: [Pierpont family, familyName, Pierpont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pierpont
Context triple: [Pierpont family, familyName, Pierpont]
  • A. Pierpont chosen
    Pierpont is the distinctive middle name of the influential American financier and banker J. P. Morgan.
  • B. Pierrepont
    Pierrepont is a given name associated with the American architect C. P. H. Gilbert, known for designing opulent Gilded Age mansions in New York City.
  • C. Parkeston
    Parkeston is a village and port area in Essex, England, situated near Harwich and known historically for its railway and maritime connections.
  • D. Point Pleasant
    Point Pleasant is a short-lived 2005 supernatural drama television series that blends horror and mystery as it follows a young woman with ominous powers arriving in a New Jersey beach town.
  • E. Boughton
    Boughton is a small rural village in Norfolk, England, situated near the settlement of Stoke Ferry.
  • 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_69e24589083081908d5694c4fdc80086 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f0210b481908e0e6c4f95ba5a3b completed April 29, 2026, 3:46 a.m.
Created at: April 17, 2026, 3:38 p.m.