Triple

T17140075
Position Surface form Disambiguated ID Type / Status
Subject Adrienne Williams Bosh E415939 entity
Predicate familyName P18 FINISHED
Object Bosh E415937 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: Bosh | Statement: [Adrienne Williams Bosh, familyName, Bosh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bosh
Context triple: [Adrienne Williams Bosh, familyName, Bosh]
  • A. Bosh chosen
    Bosh is a surname most prominently associated with Chris Bosh, a retired American professional basketball player and two-time NBA champion.
  • B. Bosha
    Bosha is an alternative name for the Lom people, a Romani-related ethnic group primarily found in the Caucasus region.
  • C. Bogo
    Bogo is an alternative name for the Bilen people, an ethnic group primarily living in Eritrea.
  • D. Bogo
    Bogo is a component city located in the northern part of Cebu province in the Philippines, known as a commercial and transport hub for surrounding municipalities and islands.
  • E. Baza
    Baza is a historic town and municipality in southern Spain known for its archaeological heritage and location in the province of Granada, Andalusia.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f2d318a88190aae8d776376c8053 completed April 18, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fc263508190aeeb0ea9553cebdb completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:36 a.m.