Triple

T12991086
Position Surface form Disambiguated ID Type / Status
Subject Empress E321906 entity
Predicate producer P490 FINISHED
Object Yung Willis E979085 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: Yung Willis | Statement: [Empress, producer, Yung Willis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yung Willis
Context triple: [Empress, producer, Yung Willis]
  • A. Yung Willis chosen
    Yung Willis is a Nigerian music producer known for crafting contemporary Afrobeats sounds and collaborating with prominent artists in the scene.
  • B. Alasdhair Willis
    Alasdhair Willis is a British creative director and businessman best known for his work in fashion and design, including serving as creative director for Hunter Boot Ltd.
  • C. Michael Williams
    Michael Williams was an English actor best known for his work in television, film, and theatre, and for his long marriage to Dame Judi Dench.
  • D. Nat Willis
    Nat Willis is known primarily as the husband of British-American actress Andrea King.
  • E. Gary Anthony Williams
    Gary Anthony Williams is an American actor and comedian best known for his prolific voice work in animation and video games, as well as appearances in television and film.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e7765788190a9503ef055bc30ca completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8fb70f481908a9a4ca04d6bf93b completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:43 p.m.