Triple

T15408700
Position Surface form Disambiguated ID Type / Status
Subject God Forgives, I Don’t E368527 entity
Predicate featuresArtist P1952 FINISHED
Object Usher E64985 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: Usher | Statement: [God Forgives, I Don’t, featuresArtist, Usher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Usher
Context triple: [God Forgives, I Don’t, featuresArtist, Usher]
  • A. Usher chosen
    Usher is an American R&B singer, songwriter, dancer, and actor known for his smooth vocals, dynamic performances, and multi-platinum albums such as "Confessions."
  • B. Gentleman Usher
    A Gentleman Usher is a ceremonial officer of the British Royal Household responsible for assisting at state occasions and formal royal events.
  • C. Usher II
    Usher II is a short story by Ray Bradbury, set on Mars, that satirizes censorship and pays homage to Edgar Allan Poe within the larger collection The Martian Chronicles.
  • D. Jessie T. Usher
    Jessie T. Usher is an American actor best known for his roles in the TV series "Survivor's Remorse" and the superhero satire "The Boys."
  • E. Ne-Yo
    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.
  • 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.