Triple
T20042413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Griller |
E497454
|
entity |
| Predicate | featuresMember |
P17143
|
FINISHED |
| Object | Art Tedeschi |
—
|
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: Art Tedeschi | Statement: [Griller, featuresMember, Art Tedeschi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Art Tedeschi Context triple: [Griller, featuresMember, Art Tedeschi]
-
A.
Art Tedeschi
chosen
Art Tedeschi is a musician best known as a member of the punk rock band The Frustrators.
-
B.
Tom D'Andrea
Tom D'Andrea was an American character actor known for his supporting roles in mid-20th-century films and television.
-
C.
Danny Tamberelli
Danny Tamberelli is an American actor, comedian, and musician best known for his childhood roles on Nickelodeon shows like The Adventures of Pete & Pete and All That.
-
D.
David Tedeschi
David Tedeschi is an American film editor and director best known for his extensive collaborations with Martin Scorsese on documentaries and concert films.
-
E.
Pat Martino
Pat Martino was an influential American jazz guitarist renowned for his virtuosic bebop-influenced style and remarkable comeback after overcoming a near-fatal brain aneurysm.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662ec9ae0819097032ff50d6215c2 |
completed | April 20, 2026, 5:31 p.m. |
Created at: April 11, 2026, 3:37 p.m.