Triple

T16569401
Position Surface form Disambiguated ID Type / Status
Subject Timbaland & Magoo E402545 entity
Predicate alsoKnownAs P39 FINISHED
Object Timbaland and Magoo E402545 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: Timbaland and Magoo | Statement: [Timbaland & Magoo, alsoKnownAs, Timbaland and Magoo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timbaland and Magoo
Context triple: [Timbaland & Magoo, alsoKnownAs, Timbaland and Magoo]
  • A. Timbaland & Magoo chosen
    Timbaland & Magoo were an American hip hop duo from Virginia known for their innovative, futuristic production style and collaborations with artists like Missy Elliott and Aaliyah.
  • B. Danger Mouse
    Danger Mouse is an American musician and record producer known for his innovative, genre-blending work with artists across rock, hip hop, and pop.
  • C. Danger Mouse
    Danger Mouse is a British animated television series featuring a suave, eye-patch-wearing secret agent mouse who parodies the spy genre.
  • D. Timbaland
    Timbaland is an influential American record producer, rapper, and songwriter known for his innovative, rhythmically complex sound that has shaped modern hip-hop and R&B.
  • E. Tim Mellow
    Tim Mellow is an acoustics engineer and author known for co-writing the technical reference book "Acoustics: Sound Fields and Transducers."
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35773c00c819091731bebc02a69bb completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007da4b60c8190a682d20aa881792c completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:16 a.m.