Triple
T20164266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheen Estevez |
E491788
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object | Jeffrey Garcia |
—
|
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: Jeffrey Garcia | Statement: [Sheen Estevez, voiceActor, Jeffrey Garcia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeffrey Garcia Context triple: [Sheen Estevez, voiceActor, Jeffrey Garcia]
-
A.
Jeffrey Garcia
chosen
Jeffrey Garcia is an American stand-up comedian and voice actor best known for voicing Sheen Estevez in the Jimmy Neutron franchise.
-
B.
Tim Garcia
Tim Garcia is a musician best known as a member of the American glam metal band Ratt.
-
C.
Jeffrey Cain
Jeffrey Cain is an American musician and producer best known as a member of the alternative rock band Remy Zero.
-
D.
Rich Garcia
Rich Garcia is a former Major League Baseball umpire best known for working numerous postseason games, including serving as a crew chief in the 1990s.
-
E.
Brian Tufano
Brian Tufano was a British cinematographer best known for his influential work on films like "Trainspotting," "Shallow Grave," and "Billy Elliot."
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6684376408190a68890ab48fa5424 |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:35 p.m.