Triple
T1369980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clayton Kershaw |
E30090
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Clayton |
E132914
|
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: Clayton | Statement: [Clayton Kershaw, givenName, Clayton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clayton Context triple: [Clayton Kershaw, givenName, Clayton]
-
A.
Clayton
Clayton is a town in Johnston County, North Carolina, known as a growing suburban community within the Raleigh metropolitan area.
-
B.
Clayton
Clayton is the protagonist of Harriet Beecher Stowe’s anti-slavery novel "Dred: A Tale of the Great Dismal Swamp," through whom themes of morality, justice, and the complexities of slavery are explored.
-
C.
Clayton
Clayton is a district in east Manchester, England, known for its residential character and proximity to the city’s industrial and sporting landmarks.
-
D.
Clayton
chosen
Clayton is a common English-language surname borne by numerous notable individuals across fields such as music, sports, politics, and academia.
-
E.
Clifton
Clifton is a masculine given name of English origin that has been borne by various notable figures, including actors, politicians, and athletes.
- 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_69a498f912008190a376a98b207b2071 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c2d60fdc8190a9954b74ca2b2541 |
completed | March 1, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce7ae56c8190970bacb061a71798 |
completed | March 8, 2026, 1:18 a.m. |
Created at: March 1, 2026, 7:57 p.m.