Triple
T22126950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Up All Night |
E546813
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Matt Squire |
—
|
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: Matt Squire | Statement: [Up All Night, producer, Matt Squire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Squire Context triple: [Up All Night, producer, Matt Squire]
-
A.
Matt Squire
chosen
Matt Squire is an American record producer and songwriter known for his work with prominent pop-punk, rock, and pop artists such as Panic! at the Disco, All Time Low, and Ariana Grande.
-
B.
Andy Rouse
Andy Rouse is a renowned British touring car racing driver best known for his multiple championship titles and success in European and British touring car competitions.
-
C.
Matthew Sweeney
Matthew Sweeney is an Irish poet known for his surreal, darkly humorous, and accessible verse that often blends the everyday with the fantastical.
-
D.
Matt Wensley
Matt Wensley is a musician best known as a former member of the pop-punk band The Hi-Fives.
-
E.
Mitch Rouse
Mitch Rouse is an American actor, comedian, and writer known for his work in film and television, including co-creating the series "Strangers with Candy" and appearing in numerous comedic roles.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12981ac008190aafb516f2a28fefc |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:31 p.m.