Triple
T13384123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flaked |
E319393
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Peter Principato |
E889255
|
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: Peter Principato | Statement: [Flaked, executiveProducer, Peter Principato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Principato Context triple: [Flaked, executiveProducer, Peter Principato]
-
A.
Peter Principato
chosen
Peter Principato is a talent manager and television and film producer known for representing high-profile comedic actors and developing successful comedy projects.
-
B.
Joe Principe
Joe Principe is an American bassist best known as a founding member of the punk rock band Rise Against.
-
C.
Frank Prinzi
Frank Prinzi is an American cinematographer and television director known for his work on numerous films and TV series, including crime dramas and independent features.
-
D.
Michael Prinz
Michael Prinz is a person notable enough to be recognized as a prominent bearer of the surname Prinz.
-
E.
Peter Gennaro
Peter Gennaro was an American choreographer and dancer renowned for his work on Broadway musicals and television, particularly 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce80158819082156eaeaeda3bd8 |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7268cf04c8190a35fd48ce81c149e |
completed | May 3, 2026, 10:42 a.m. |
Created at: April 9, 2026, 9:33 p.m.