Triple
T13993772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank |
E336643
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Matt Rowe |
E823830
|
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: Matt Rowe | Statement: [Frank, producer, Matt Rowe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Rowe Context triple: [Frank, producer, Matt Rowe]
-
A.
Matt Rowe
chosen
Matt Rowe is a British music producer and songwriter best known for his work on major pop acts in the 1990s and 2000s.
-
B.
Jason Filardi
Jason Filardi is an American screenwriter best known for writing popular Hollywood comedies, including the hit film "Bringing Down the House."
-
C.
Keith Yandle
Keith Yandle is an American former professional ice hockey defenseman best known for his long NHL career and holding the league’s ironman record for consecutive games played.
-
D.
Brian Gionta
Brian Gionta is an American former professional ice hockey right winger who captained both the Montreal Canadiens and Buffalo Sabres in the NHL and represented the United States in multiple international tournaments.
-
E.
Jay Monahan
Jay Monahan was an American attorney and legal analyst best known as the late husband of television journalist Katie Couric.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb3b5d881909f15a1e08bb202f3 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac9a7e8c8190a0fd0cd67ff50741 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:19 p.m.