Triple

T12945502
Position Surface form Disambiguated ID Type / Status
Subject Robert Gibbes E309751 entity
Predicate hasSurname P18 FINISHED
Object Gibbes E309751 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: Gibbes | Statement: [Robert Gibbes, hasSurname, Gibbes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gibbes
Context triple: [Robert Gibbes, hasSurname, Gibbes]
  • A. Gibbes chosen
    Gibbes is a surname and variant spelling of Gibbs, historically borne by several notable figures in English-speaking countries.
  • B. Sullivan's Island
    Sullivan's Island is a small barrier island near Charleston, South Carolina, known for its historic fortifications, beaches, and role in American literary and military history.
  • C. Mount Pleasant
    Mount Pleasant is a suburban town in Westchester County, New York, known for its residential communities and proximity to major reservoirs and parklands.
  • D. Mount Pleasant
    Mount Pleasant is a small city in southeastern Iowa known as the county seat of Henry County and home to Iowa Wesleyan University.
  • E. Mount Pleasant
    Mount Pleasant is a prominent hill and scenic overlook in Rising Park, known for its panoramic views of the surrounding area.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e1b3694819098527dcea3cfed93 completed April 10, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af75bc04819098d98c47fca48ac9 completed May 3, 2026, 2:14 a.m.
Created at: April 9, 2026, 5:43 p.m.