Triple
T22127991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hell on Heels |
E546838
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Chuck Ainlay |
—
|
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: Chuck Ainlay | Statement: [Hell on Heels, producer, Chuck Ainlay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chuck Ainlay Context triple: [Hell on Heels, producer, Chuck Ainlay]
-
A.
Chuck Ainlay
chosen
Chuck Ainlay is a renowned American record producer and audio engineer known for his work with major country and rock artists and his expertise in high-fidelity studio production.
-
B.
Charlie Shotwell
Charlie Shotwell is an American child actor known for roles in films such as "Captain Fantastic," "The Glass Castle," and "Troop Zero."
-
C.
Ken Ralston
Ken Ralston is an acclaimed visual effects supervisor known for his groundbreaking work on major films such as the Star Wars and Back to the Future series.
-
D.
Lee Crocker
Lee Crocker is a software engineer and developer known for his contributions to early web technologies and open-source projects.
-
E.
Brent Judd
Brent Judd is a film and television producer best known for his work on the comedy series "Trainwreck."
- 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_69f12982eaa08190933d3036c020f562 |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:32 p.m.