Triple
T22534576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One More Light |
E557122
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Andrew Dawson |
—
|
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 Dawson | Statement: [One More Light, producer, Andrew Dawson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Dawson Context triple: [One More Light, producer, Andrew Dawson]
-
A.
Andrew Dawson
Andrew Dawson is a writer known for his work on the project "What Would Meek Do?".
-
B.
Andrew Dawson
chosen
Andrew Dawson is a music producer and audio engineer known for his work on major hip-hop and pop records, including projects with artists like Kanye West.
-
C.
Alan Dawson
Alan Dawson is an American jazz drummer and influential educator renowned for his work with artists like Dave Brubeck and for shaping modern drum pedagogy.
-
D.
Alan Dawson
Alan Dawson is a British hillwalker and author best known for his influential guidebook cataloguing the country’s prominent hills, which helped popularize the concept of relative hill prominence in the UK.
-
E.
Douglas Dawson
Douglas Dawson was the husband of American film actress Jean Parker, known primarily in relation to her personal life.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed952f48190b63225e7de131679 |
completed | April 29, 2026, 1:28 a.m. |
Created at: April 16, 2026, 8:51 p.m.