Triple
T22965438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vince Papale |
E571030
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Vince Papale |
—
|
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: Vince Papale | Statement: [Vince Papale, name, Vince Papale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vince Papale Context triple: [Vince Papale, name, Vince Papale]
-
A.
Vince Papale
chosen
Vince Papale is a former Philadelphia Eagles walk-on wide receiver whose unlikely rise from bartender and teacher to the NFL inspired the film "Invincible."
-
B.
Nick Aliotti
Nick Aliotti is an American football coach best known for his long tenure as the University of Oregon’s defensive coordinator, where he helped build some of the nation’s top collegiate defenses.
-
C.
Ernest Pagano
Ernest Pagano was an American screenwriter best known for his work on Hollywood musical comedies in the 1930s and 1940s.
-
D.
Mario Cipriani
Mario Cipriani was an Italian actor known for his role in Pier Paolo Pasolini’s 1961 film "Accattone."
-
E.
Vito Volpe
Vito Volpe is an individual notable enough to be recognized as a prominent bearer of the surname Volpe.
- 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_69e245b2c6548190a0e4c7f2f7df2d48 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1822e542c8190a865f18e64fc0768 |
completed | April 29, 2026, 3:59 a.m. |
Created at: April 17, 2026, 3:47 p.m.