Triple
T16119096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Gascoyne |
E391085
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mike Gascoyne |
E391085
|
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: Mike Gascoyne | Statement: [Mike Gascoyne, name, Mike Gascoyne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Gascoyne Context triple: [Mike Gascoyne, name, Mike Gascoyne]
-
A.
Mike Gascoyne
chosen
Mike Gascoyne is a British Formula One engineer renowned for his technical leadership roles at several F1 teams, including Jordan, Renault, Toyota, and Spyker.
-
B.
Bill Gartley
Bill Gartley is the ruthless and sadistic owner of a laundry factory in the horror film "The Mangler," where a possessed industrial machine terrorizes workers.
-
C.
Gordon Bottomley
Gordon Bottomley was an English poet and dramatist of the early 20th century, noted for his verse dramas and his role in the Georgian poetry movement.
-
D.
Mike Hodgson
Mike Hodgson is an artist known for his background artwork on the animated fantasy film "The Black Cauldron."
-
E.
Phil Ball
Phil Ball was an early 20th-century American businessman and baseball executive best known for his ownership role in professional teams, including in the Federal League.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2016d527c8190928e73661b18a914 |
completed | April 17, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0025ef00548190b802b4aaba907aa2 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5 a.m.