Triple
T10478483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Cracknell |
E247107
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Cracknell |
E247107
|
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: Cracknell | Statement: [James Cracknell, familyName, Cracknell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cracknell Context triple: [James Cracknell, familyName, Cracknell]
-
A.
Cracknell
chosen
Cracknell is an English surname most notably associated with Olympic gold-medal-winning rower James Cracknell.
-
B.
Priddy
Priddy is a small village and civil parish in the Mendip Hills of Somerset, England, known for its limestone landscape, ancient monuments, and extensive cave systems.
-
C.
Carron
Carron is a village in Falkirk, Scotland, historically known for its ironworks and industrial heritage.
-
D.
Boatwright
Boatwright is a surname of English origin borne by various individuals and fictional characters, including the character August Boatwright.
-
E.
Frankwell
Frankwell is a historic riverside district of Shrewsbury, England, known for its old streets, period buildings, and proximity to the town centre across the River Severn.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5095a25708190bf34e3ca1491e003 |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8a02aa2748190902f5c08afd7dda9 |
completed | April 10, 2026, 7 a.m. |
Created at: April 6, 2026, 12:21 p.m.