Triple

T8175796
Position Surface form Disambiguated ID Type / Status
Subject We Global E190933 entity
Predicate featuresArtist P1952 FINISHED
Object Ray J E39210 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: Ray J | Statement: [We Global, featuresArtist, Ray J]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ray J
Context triple: [We Global, featuresArtist, Ray J]
  • A. Ray J chosen
    Ray J is an American R&B singer, songwriter, actor, and television personality known for his music career, reality TV appearances, and high-profile relationships.
  • B. 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.
  • C. Phil LaMarr
    Phil LaMarr is an American actor and prolific voice actor known for his work on sketch comedy shows and in animated series such as Futurama, Samurai Jack, and Justice League.
  • D. Tom Dyas
    Tom Dyas is a Canadian municipal politician serving as the mayor of Kelowna, British Columbia.
  • E. Teddy Riley
    Teddy Riley is an American singer, songwriter, and producer widely credited with pioneering the new jack swing genre that fused R&B with hip-hop.
  • 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_69ca82c1c0a08190bf8692b4d91a03ca completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4ab8295081909a450fcaa34f6ec6 completed March 31, 2026, 4:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf6d4ba881908f1bac9cce6cc29d completed April 1, 2026, 6:47 a.m.
Created at: March 30, 2026, 5:40 p.m.