Triple

T8979452
Position Surface form Disambiguated ID Type / Status
Subject John Fowler E214483 entity
Predicate familyName P18 FINISHED
Object Fowler E343765 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: Fowler | Statement: [John Fowler, familyName, Fowler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fowler
Context triple: [John Fowler, familyName, Fowler]
  • A. Fowler chosen
    Fowler is a surname of English origin borne by numerous notable individuals across fields such as engineering, politics, sports, and the arts.
  • B. Fowles
    Fowles is the surname of Sylvia Fowles, an American professional basketball player renowned as one of the most dominant centers in WNBA history.
  • C. Foster
    Foster is a small rural town in western Rhode Island known for its forests, historic character, and low population density.
  • D. Foster
    Foster is a common English surname borne by numerous notable individuals across fields such as entertainment, sports, politics, and academia.
  • E. Ryle
    Ryle is a surname most notably associated with Gilbert Ryle, a 20th-century British philosopher known for his critique of Cartesian dualism and the concept of the "ghost in the machine."
  • 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_69ca839ea8b88190922c6a326ffcc0d3 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67a4b3e88190b778a9b5589cab6d completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc9719f5c8190bc22c3c7375b54f7 completed April 3, 2026, 2:06 p.m.
Created at: March 30, 2026, 7:03 p.m.