Triple
T4462681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clive James |
E98293
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Clive James |
E98293
|
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: Clive James | Statement: [Clive James, name, Clive James]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clive James Context triple: [Clive James, name, Clive James]
-
A.
Clive James
chosen
Clive James was an Australian-born critic, broadcaster, poet, and memoirist renowned for his sharp wit, television criticism, and autobiographical works.
-
B.
John Griffiths
John Griffiths is a Welsh Labour politician who has served in several senior legal and governmental roles within the Welsh Government, including as Counsel General for Wales.
-
C.
Austin Clarke
Austin Clarke is a Barbadian-Canadian novelist and short story writer renowned for his explorations of race, immigration, and Caribbean diasporic life in Canada.
-
D.
Mel Goodes
Mel Goodes is a Canadian business executive and philanthropist best known for his leadership in the pharmaceutical industry and his significant support of Queen’s University.
-
E.
Phil Woolpert
Phil Woolpert was a prominent American college basketball coach best known for leading the University of San Francisco to multiple national championships in the 1950s.
- 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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3567716a4819092a5bc9732e74592 |
completed | March 13, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6284b90708190b557b66bd7533f4e |
completed | March 15, 2026, 3:32 a.m. |
Created at: March 12, 2026, 11:34 p.m.