Triple
T10027584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Passwords |
E200768
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | Lee Pardini |
E245551
|
NE FINISHED |
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: Lee Pardini | Statement: [Passwords, performer, Lee Pardini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee Pardini Context triple: [Passwords, performer, Lee Pardini]
-
A.
Lee Pardini
chosen
Lee Pardini is an American keyboardist and composer best known as the longtime keyboard player for the folk-rock band Dawes and for his work as a versatile session musician.
-
B.
Lou Pardini
Lou Pardini is an American singer, songwriter, and keyboardist best known for his work in jazz, R&B, and rock, including a notable tenure with the band Chicago.
-
C.
Desi Piscatella
Desi Piscatella is a brutal and imposing corrections officer on the Netflix series "Orange Is the New Black," known for his abusive and authoritarian treatment of inmates.
-
D.
Daniel Palladino
Daniel Palladino is an American television writer, producer, and director best known for his work on series like "The Marvelous Mrs. Maisel" and "Gilmore Girls."
-
E.
Mel Dinelli
Mel Dinelli was an American playwright and screenwriter best known for his work in film noir and suspense films during the mid-20th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca831c45f08190ac1505cc15076608 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcde3c1b88190924e6158f406b453 |
completed | April 2, 2026, 2:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94ae0a9608190ab241b6a62fe807b |
completed | April 10, 2026, 7:09 p.m. |
Created at: March 30, 2026, 8:54 p.m.