Triple

T22454372
Position Surface form Disambiguated ID Type / Status
Subject Marques Houston as Kevin Barnes E555074 entity
Predicate musicBy P1952 FINISHED
Object BT NE NERFINISHED

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: BT | Statement: [Marques Houston as Kevin Barnes, musicBy, BT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BT
Context triple: [Marques Houston as Kevin Barnes, musicBy, BT]
  • A. BT
    BT is the vehicle registration code used on license plates for the city and district of Bayreuth in Upper Franconia, Germany.
  • B. BT chosen
    BT is an American electronic music producer and composer known for pioneering trance and progressive electronic styles and for his innovative use of production techniques.
  • C. BT
    BT is the postcode area covering Belfast and much of Northern Ireland.
  • D. BT
    BT is a peer-to-peer file sharing protocol widely used for distributing large amounts of data over the internet.
  • E. BT
    BT is the line designation used for Beijing's Batong Line, an extension of the Beijing Subway network serving the eastern suburbs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b4e2bd4819083e5bed44e9776c6 completed April 29, 2026, 1:13 a.m.
Created at: April 16, 2026, 8:48 p.m.