Triple
T8763997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camouflage |
E208279
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Gavin Brown |
E769931
|
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: Gavin Brown | Statement: [Camouflage, producer, Gavin Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gavin Brown Context triple: [Camouflage, producer, Gavin Brown]
-
A.
Gavin Brown
chosen
Gavin Brown is a Canadian music producer known for his work with prominent rock and alternative artists, contributing to numerous award-winning albums.
-
B.
Gavin Clark
Gavin Clark was an English singer-songwriter known for his emotive, folk-influenced work and frequent collaborations with filmmaker Shane Meadows.
-
C.
Greg Brown
Greg Brown is an American ice hockey coach and former defenseman best known for leading the Boston College Eagles men's hockey program.
-
D.
Andrew Gunn
Andrew Gunn is an American film producer known for his work on family-oriented and teen-focused movies, including several popular Disney films.
-
E.
Gavin Cavanagh
Gavin Cavanagh is a fictional DJ character from the British comedy film "The Boat That Rocked," which centers on a pirate radio station broadcasting rock music in the 1960s.
- 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_69ca835df7e08190ac875664cca8f9ca |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5dfdef9881908a7f079d87e8e338 |
completed | March 31, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0771920819081f191567c7e9fd2 |
completed | April 3, 2026, 2:36 p.m. |
Created at: March 30, 2026, 6:40 p.m.