Triple
T17511760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Who Do You Trust? |
E426466
|
entity |
| Predicate | mainPerformer |
P1363
|
FINISHED |
| Object | Tony Palermo |
—
|
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: Tony Palermo | Statement: [Who Do You Trust?, mainPerformer, Tony Palermo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Palermo Context triple: [Who Do You Trust?, mainPerformer, Tony Palermo]
-
A.
Tony Palermo
chosen
Tony Palermo is an American drummer best known for his work with the rock band Papa Roach.
-
B.
Tony DeMarco
Tony DeMarco was an American professional boxer and former world welterweight champion known for his aggressive, crowd-pleasing fighting style during the 1950s.
-
C.
Mark Palermo
Mark Palermo is a Canadian film critic and screenwriter best known for co-writing the cult horror-comedy film "Detention."
-
D.
Tony Lombardo
Tony Lombardo is a film editor known for his work on the comedy movie "Van Wilder."
-
E.
Tony D'Amato
Tony D'Amato is the hard-driving, old-school head coach of the fictional Miami Sharks football team in the film "Any Given Sunday," portrayed by Al Pacino.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4525c21c88190a9394c4bce006a38 |
completed | April 19, 2026, 3:56 a.m. |
Created at: April 10, 2026, 5:48 a.m.