Triple
T16438038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dammit |
E399225
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Mark Trombino |
—
|
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: Mark Trombino | Statement: [Dammit, producer, Mark Trombino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Trombino Context triple: [Dammit, producer, Mark Trombino]
-
A.
Mark Trombino
chosen
Mark Trombino is an American record producer, engineer, and musician best known for his influential work on landmark emo and pop-punk albums in the 1990s and 2000s.
-
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 Indelicato
Mark Indelicato is an American actor and singer best known for his role as Justin Suarez on the television series "Ugly Betty."
-
D.
Tony Lombardo
Tony Lombardo is a film editor known for his work on the comedy movie "Van Wilder."
-
E.
Mike Tuccillo
Mike Tuccillo is a film and television composer known for his work on the acclaimed series "Ramy."
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba5a4748190b63ff53bfb5957c7 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:10 a.m.