Triple
T9203014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warwick Goble |
E220895
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Warwick Goble |
E220895
|
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: Warwick Goble | Statement: [Warwick Goble, name, Warwick Goble]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warwick Goble Context triple: [Warwick Goble, name, Warwick Goble]
-
A.
Warwick Goble
chosen
Warwick Goble was a British illustrator best known for his early 20th-century book and magazine illustrations, particularly for fantasy, fairy tales, and science fiction works.
-
B.
Stanley Goble
Stanley Goble was an Australian naval aviator and senior officer who became a pioneering figure in military aviation and later served as Chief of the Air Staff of the Royal Australian Air Force.
-
C.
Clive Beddoe
Clive Beddoe is a Canadian entrepreneur best known as a co-founder and longtime leader of the low-cost airline WestJet.
-
D.
Gordon Juckes
Gordon Juckes was a prominent Canadian ice hockey administrator who played a key role in developing and promoting amateur hockey across Canada.
-
E.
Maurice Denham
Maurice Denham was an English character actor known for his extensive work in film, television, and radio from the mid-20th century onward.
- 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_69ca83e8e9248190862cf3e41693b310 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd944e6208190adfcc7f75197387d |
completed | April 1, 2026, 8:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b1adc2508190b8a24510ee61f092 |
completed | April 4, 2026, 6:37 a.m. |
Created at: March 30, 2026, 7:26 p.m.