Triple

T21735535
Position Surface form Disambiguated ID Type / Status
Subject 112 (album) E536511 entity
Predicate producer P490 FINISHED
Object Tim & Bob 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: Tim & Bob | Statement: [112 (album), producer, Tim & Bob]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tim & Bob
Context triple: [112 (album), producer, Tim & Bob]
  • A. Tim & Bob chosen
    Tim & Bob are a Grammy-winning American R&B and hip-hop production duo known for crafting hits for artists like Monica, Boyz II Men, and TLC.
  • B. Bob & Bill
    Bob & Bill is a Canadian musical duo known for creating the eclectic, genre-blending score for Cirque du Soleil’s show "Kurios – Cabinet of Curiosities."
  • C. Mel and Tim
    Mel and Tim were an American soul music duo known for their smooth harmonies and hits during the late 1960s and early 1970s.
  • D. Timmy and Tommy
    Timmy and Tommy are twin tanuki shopkeepers in the Animal Crossing video game series who assist and later succeed Tom Nook in running the town’s store.
  • E. Bob And John
    Bob And John is an American Thoroughbred racehorse best known for his success on the track, including winning major graded stakes races.
  • 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_69e0c46d3284819099a4f9d5a704eb95 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69effd0b0da0819098ef03360eea6a0d completed April 28, 2026, 12:19 a.m.
Created at: April 16, 2026, 6:48 p.m.