Triple

T15747695
Position Surface form Disambiguated ID Type / Status
Subject Bryan Fuller E381761 entity
Predicate givenName P17 FINISHED
Object Bryan E186599 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: Bryan | Statement: [Bryan Fuller, givenName, Bryan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bryan
Context triple: [Bryan Fuller, givenName, Bryan]
  • A. Bryan
    Bryan is a mid-sized city in Central Texas known for its close association with neighboring College Station and Texas A&M University.
  • B. Bryan chosen
    Bryan is a masculine given name of Celtic origin that is widely used in English-speaking countries.
  • C. Bryden
    Bryden is a small rural locality in the Somerset Region of Queensland, Australia, known for its agricultural landscape and quiet countryside character.
  • D. Bryan England
    Bryan England is a cinematographer best known for his work on the 1991 horror film adaptation of Stephen King's "Sometimes They Come Back."
  • E. Bryse
    Bryse is an alternative spelling of the given name Bryce, typically used as a modern or stylistic variant.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0502d72008190b4d13a6b3a12e467 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8309cba881909579ee5a62b3aa31 completed May 9, 2026, 6:55 p.m.
Created at: April 10, 2026, 4:46 a.m.