Triple

T15408701
Position Surface form Disambiguated ID Type / Status
Subject God Forgives, I Don’t E368527 entity
Predicate featuresArtist P1952 FINISHED
Object Ne-Yo E142839 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: Ne-Yo | Statement: [God Forgives, I Don’t, featuresArtist, Ne-Yo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ne-Yo
Context triple: [God Forgives, I Don’t, featuresArtist, Ne-Yo]
  • A. Ne-Yo chosen
    Ne-Yo is an American R&B singer, songwriter, and record producer known for hits like "So Sick" and for writing songs for numerous major artists.
  • B. Chris Brown
    Chris Brown is a film producer known for his work on the World War II drama "The Railway Man."
  • C. Chris Brown
    Chris Brown is an American singer, songwriter, dancer, and actor known for his R&B and pop hits as well as his dynamic performances.
  • D. Omarion
    Omarion is an American R&B singer, songwriter, and dancer best known as the former lead vocalist of the boy band B2K and for his successful solo career.
  • E. Marques Houston
    Marques Houston is an American R&B singer, songwriter, and actor best known as a member of the group Immature/IMx and for his roles 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ea4f13c819085d26fd32b5dca6f completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff135bcb5c8190a1f43c6bb6a0e53c completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:20 a.m.