Triple

T22428233
Position Surface form Disambiguated ID Type / Status
Subject Wonder (film) E554427 entity
Predicate starredActor P5563 FINISHED
Object Nadji Jeter NE NERFINISHED

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: Nadji Jeter | Statement: [Wonder (film), starredActor, Nadji Jeter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nadji Jeter
Context triple: [Wonder (film), starredActor, Nadji Jeter]
  • A. Nadji Jeter chosen
    Nadji Jeter is an American actor and voice actor best known for portraying Miles Morales in Marvel’s Spider-Man video games and related media.
  • B. Derek Jeter
    Derek Jeter is a Hall of Fame shortstop widely regarded as one of baseball’s greatest players, known for his leadership, clutch performances, and five World Series titles with the New York Yankees.
  • C. O’Ryan Browner
    O’Ryan Browner is an American R&B singer and entertainer, best known as the younger brother of Omarion and for his music and appearances in reality television.
  • D. Tom Jeter
    Tom Jeter is a fictional sketch-comedy performer and writer from the television series "Studio 60 on the Sunset Strip."
  • E. Michael Jeter
    Michael Jeter was an American character actor known for his eccentric, heartfelt performances in film, television, and theater, including notable roles in projects like The Green Mile, Evening Shade, and Sesame Street.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4f2d0c819091aa3558ea2ee630 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a2f054c819093fbe173c8a4a544 completed April 29, 2026, 1:09 a.m.
Created at: April 16, 2026, 8:47 p.m.