Triple

T3952313
Position Surface form Disambiguated ID Type / Status
Subject Timothy Mosley E84891 entity
Predicate notableWork P4 FINISHED
Object One in a Million E341634 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: One in a Million | Statement: [Timothy Mosley, notableWork, One in a Million]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: One in a Million
Context triple: [Timothy Mosley, notableWork, One in a Million]
  • A. One in a Million chosen
    "One in a Million" is Aaliyah's influential 1996 R&B album that helped redefine the genre with its innovative production and smooth, futuristic sound.
  • B. A Million Love Songs
    "A Million Love Songs" is a romantic pop ballad by British boy band Take That, released in 1992 and known for its soulful melody and heartfelt lyrics.
  • C. 22, A Million
    22, A Million is an experimental, genre-blending album by Bon Iver known for its fragmented song structures, heavy electronic manipulation, and introspective, cryptic lyricism.
  • D. One and Only
    "One and Only" is a song by Mariah Carey from her 2005 album *The Emancipation of Mimi*.
  • E. 1000 Days
    1000 Days is an experimental rock album by the American band Wand, noted for its psychedelic textures and lo-fi, fuzzed-out sound.
  • 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_69aed934fbfc8190847068e4546de963 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef939d1308190930dc2c8272eafa4 completed March 9, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533a80d4c8190bb1aac1b2900d9a8 completed March 14, 2026, 10:08 a.m.
Created at: March 9, 2026, 3:30 p.m.