Triple

T10149632
Position Surface form Disambiguated ID Type / Status
Subject Ellen Gleason E232596 entity
Predicate familyName P18 FINISHED
Object Gleason E168111 NE 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: Gleason | Statement: [Ellen Gleason, familyName, Gleason]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gleason
Context triple: [Ellen Gleason, familyName, Gleason]
  • A. Gleason chosen
    Gleason is a surname of Irish and English origin borne by various notable individuals across fields such as engineering, entertainment, and sports.
  • B. Gage
    Gage is a surname of English origin borne by various notable individuals, including historical and contemporary figures.
  • C. Grier
    Grier is the surname of Pam Grier, an influential American actress renowned for her groundbreaking roles in 1970s blaxploitation films.
  • D. Bonger
    Bonger is a Dutch surname most notably associated with Johanna van Gogh-Bonger, the key figure in preserving and promoting Vincent van Gogh’s artistic legacy.
  • E. Humphreys
    Humphreys is a small unincorporated community located within Lea County in southeastern New Mexico.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec03e80c81909c813dae91c56272 completed April 2, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e6369c848190984394eedf2f07eb completed April 5, 2026, 10:46 p.m.
Created at: March 30, 2026, 9:08 p.m.