Triple

T10846890
Position Surface form Disambiguated ID Type / Status
Subject 4*Town E256034 entity
Predicate realWorldVocalPerformer P96043 FINISHED
Object Grayson Villanueva E262035 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: Grayson Villanueva | Statement: [4*Town, realWorldVocalPerformer, Grayson Villanueva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grayson Villanueva
Context triple: [4*Town, realWorldVocalPerformer, Grayson Villanueva]
  • A. Grayson Villanueva chosen
    Grayson Villanueva is a voice actor and singer known for his work in animated film and television, including contributing vocals to Pixar’s "Turning Red."
  • B. Nicholas Gonzalez
    Nicholas Gonzalez is an American actor best known for his role as Dr. Neil Melendez on the television series "The Good Doctor."
  • C. Joshua Gomez
    Joshua Gomez is an American actor best known for his role as Morgan Grimes on the television series "Chuck."
  • D. Nicholas Medina
    Nicholas Medina is the tormented nobleman portrayed by Vincent Price in Roger Corman’s Gothic horror film adaptation of Edgar Allan Poe’s “The Pit and the Pendulum.”
  • E. Jacob Vargas
    Jacob Vargas is a Mexican-American actor known for his versatile roles in film and television, including notable performances in projects like "Traffic," "Selena," and "Jarhead."
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75113bc188190ac78df0c51d95de6 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb162d718819081fbc3a082672b4f completed April 14, 2026, 9:28 p.m.
Created at: April 8, 2026, 9:20 p.m.