Triple
T12906679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Don't Want to Miss a Thing |
E308746
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Matt Serletic |
E470738
|
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 Serletic | Statement: [I Don't Want to Miss a Thing, producer, Matt Serletic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Serletic Context triple: [I Don't Want to Miss a Thing, producer, Matt Serletic]
-
A.
Matt Serletic
chosen
Matt Serletic is an American record producer and music executive best known for his work with artists like Matchbox Twenty, Santana, and Aerosmith.
-
B.
Stephen Haise
Stephen Haise is the son of American astronaut Fred Haise, one of the Apollo 13 crew members.
-
C.
Sean Biggerstaff
Sean Biggerstaff is a Scottish actor best known for playing Oliver Wood in the Harry Potter film series.
-
D.
Scott Sullivan
Scott Sullivan is the former WorldCom chief financial officer who became a central figure in one of the largest accounting fraud scandals in U.S. corporate history.
-
E.
Keith Schroeder
Keith Schroeder is the central protagonist of John Grisham’s legal thriller "The Confession," an ordinary small-town man drawn into a high-stakes battle against a wrongful execution.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9719d4d1c8190a2c4f362e1772a73 |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a565ce508190a73f33708e61dc7d |
completed | May 3, 2026, 1:31 a.m. |
Created at: April 9, 2026, 5:41 p.m.