Triple
T20436408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Very Trainor Christmas |
E501260
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Andrew Wells |
—
|
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: Andrew Wells | Statement: [A Very Trainor Christmas, producer, Andrew Wells]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Wells Context triple: [A Very Trainor Christmas, producer, Andrew Wells]
-
A.
Andrew Wells
chosen
Andrew Wells is a music producer known for his work on the album "Hurts 2B Human."
-
B.
Michael Wells
Michael Wells is a musician known for contributing to the song "Setting the Woods on Fire."
-
C.
Michael Wells
Michael Wells is a musician best known as a member of the band Trail of Stars.
-
D.
Michael Wells
Michael Wells is a musician best known as a member of the American alternative country/rock band The Walkabouts.
-
E.
Michael Wells
Michael Wells is an actor known for his role in the film "Scavenger."
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685ef5fc8819089e3f97a63a52f86 |
completed | April 20, 2026, 8 p.m. |
Created at: April 16, 2026, 11:31 a.m.