Triple
T18742450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Everyday |
E458324
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Glen Ballard |
—
|
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: Glen Ballard | Statement: [Everyday, producer, Glen Ballard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glen Ballard Context triple: [Everyday, producer, Glen Ballard]
-
A.
Glen Ballard
chosen
Glen Ballard is an American songwriter and record producer best known for co-writing and producing Alanis Morissette’s landmark album "Jagged Little Pill" and working with artists such as Michael Jackson and Aerosmith.
-
B.
Bruce Shand
Bruce Shand was a British Army officer, wine merchant, and the father of Queen Camilla, consort to King Charles III.
-
C.
Glenn Williamson
Glenn Williamson is a film producer known for his work on independent and character-driven movies, including the dark comedy-drama "Sunshine Cleaning."
-
D.
Glen Massey
Glen Massey is a small rural settlement in New Zealand known historically for its coal mining activities.
-
E.
Glenn Holland
Glenn Holland is the dedicated high school music teacher and composer at the heart of the film "Mr. Holland's Opus," whose life’s work becomes the impact he has on his students.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5768fc1f8819085a2abf129ade34b |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 10, 2026, 11:51 a.m.