Triple
T16676569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gone Again |
E405228
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Malcolm Burn |
E517298
|
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: Malcolm Burn | Statement: [Gone Again, producer, Malcolm Burn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malcolm Burn Context triple: [Gone Again, producer, Malcolm Burn]
-
A.
Malcolm Burn
chosen
Malcolm Burn is a Canadian record producer, musician, and audio engineer known for his atmospheric work with artists such as Bob Dylan, Emmylou Harris, and Daniel Lanois.
-
B.
Malcolm Elliott
Malcolm Elliott was a notable figure in Alaska’s history, commemorated by having the Elliott Highway named in his honor.
-
C.
Malcolm Blight
Malcolm Blight is a legendary Australian rules footballer and coach, renowned for his brilliant playing career and innovative coaching in the VFL/AFL.
-
D.
Malcolm Hart
Malcolm Hart is a screenwriter best known for co-writing the cult classic 1971 road movie "Vanishing Point."
-
E.
Malcolm MacRury
Malcolm MacRury is a Canadian television writer and producer known for his work on series such as Republic of Doyle and other acclaimed dramas.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6b69cc8190b19632e1b4293569 |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a3c79888190b6ddd55b91d97183 |
completed | May 10, 2026, 1:38 p.m. |
Created at: April 10, 2026, 5:19 a.m.