Triple
T15273633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moth |
E365080
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Mick Turner |
E74335
|
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: Mick Turner | Statement: [Moth, creator, Mick Turner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mick Turner Context triple: [Moth, creator, Mick Turner]
-
A.
Mick Turner
chosen
Mick Turner is an Australian guitarist, painter, and member of the instrumental rock band Dirty Three, known for his atmospheric, minimalist playing style and solo work.
-
B.
Mick Ward
Mick Ward is a musician best known for his work with the band Kingfish.
-
C.
Mick Ford
Mick Ford is a British screenwriter and actor known for adapting works such as "The Boy with the Topknot" for television.
-
D.
Tony Leech
Tony Leech is a film writer and editor best known for co-writing the animated features "Hoodwinked!" and "Escape from Planet Earth."
-
E.
Deryck Guyler
Deryck Guyler was a British character actor and comedian best known for his roles in mid-20th-century radio and television sitcoms.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00950a9988190b67dfbc73b8bdbbc |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21945b60819098ea91d9693cb8e3 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:14 a.m.