Triple
T5068646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wild One |
E114207
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Rob Cavallo |
E116988
|
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: Rob Cavallo | Statement: [Wild One, producer, Rob Cavallo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rob Cavallo Context triple: [Wild One, producer, Rob Cavallo]
-
A.
Rob Cavallo
chosen
Rob Cavallo is a Grammy-winning American record producer and music executive best known for his work with Green Day and other major rock artists.
-
B.
Pat Cipollone
Pat Cipollone is an American lawyer who served as White House Counsel to President Donald Trump, playing a key role in major legal and impeachment-related matters during his administration.
-
C.
Richard Castellano
Richard Castellano was an American actor best known for his Oscar-nominated role as Peter Clemenza in the classic crime film "The Godfather."
-
D.
Peter Del Vecho
Peter Del Vecho is an American film producer at Walt Disney Animation Studios, best known for producing the Academy Award-winning animated feature "Frozen."
-
E.
Robert M. Reitano
Robert M. Reitano is a film editor best known for his work on the romantic comedy "Sleepless in Seattle."
- 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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd749dd1a08190858fa739df024eb4 |
completed | March 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beef988a0c8190a6c7898df8e94a6e |
completed | March 21, 2026, 7:20 p.m. |
Created at: March 20, 2026, 1:39 p.m.