Triple
T7191389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thom Yorke |
E167699
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Yorke |
E231743
|
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: Yorke | Statement: [Thom Yorke, familyName, Yorke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yorke Context triple: [Thom Yorke, familyName, Yorke]
-
A.
Yorke
chosen
Yorke is an English surname historically associated with prominent figures in law, politics, and public life in Britain.
-
B.
Blurton
Blurton is a suburban area in Stoke-on-Trent, Staffordshire, England, known primarily as a residential community.
-
C.
Gilmour
Gilmour is a surname most prominently associated with Canadian former professional ice hockey player Doug Gilmour.
-
D.
Sam Mills
Sam Mills was a standout undersized linebacker and team leader in the NFL, best known for his Pro Bowl play and inspirational presence with the New Orleans Saints and Carolina Panthers.
-
E.
James Yorke Scarlett
James Yorke Scarlett was a British Army officer best known for leading the successful but overshadowed charge of the Heavy Brigade during the Battle of Balaclava in the Crimean War.
- 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_69c6888b5248819090499a884ee3ec39 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e90087208190a65e49ae0e8a7cbf |
completed | March 27, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bf95a1a0819099d252f037c318c7 |
completed | March 28, 2026, 11:46 a.m. |
Created at: March 27, 2026, 2:50 p.m.