Triple
T20485847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Doohan |
E502591
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Doohan |
—
|
NE NERFINISHED |
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: Doohan | Statement: [James Doohan, familyName, Doohan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doohan Context triple: [James Doohan, familyName, Doohan]
-
A.
Doohan
chosen
Doohan is a surname most famously associated with Australian five-time 500cc Grand Prix motorcycle world champion Mick Doohan.
-
B.
Jack Millar
Jack Millar was an author whose work inspired the creation of the film "The Purple Mask."
-
C.
Anthony Davidson
Anthony Davidson is a British racing driver and former Formula 1 competitor best known for his success in endurance racing, including winning the 2014 FIA World Endurance Championship with Toyota.
-
D.
Paul Wickens
Paul Wickens is a British keyboardist and musical director best known for his long-standing collaboration with Paul McCartney in both studio recordings and live performances.
-
E.
Jolyon
Jolyon is a central character in John Galsworthy’s "The Forsyte Saga," known as a more sensitive and liberal-minded member of the Forsyte family.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b5aac208190956c7fd935578d60 |
completed | April 20, 2026, 9:32 p.m. |
Created at: April 16, 2026, 11:34 a.m.