Triple
T15059275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leighton Baines |
E379581
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Leighton |
E167740
|
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: Leighton | Statement: [Leighton Baines, givenName, Leighton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leighton Context triple: [Leighton Baines, givenName, Leighton]
-
A.
Leighton
chosen
Leighton is a surname of English origin borne by various notable individuals across fields such as science, politics, and the arts.
-
B.
Leighton
Leighton is a small town located in Colbert County in the northwestern part of the U.S. state of Alabama.
-
C.
North Leigh
North Leigh is a rural village in Oxfordshire, England, known for its historic church and nearby Roman villa remains.
-
D.
South Leigh
South Leigh is a small rural village in Oxfordshire, England, known for its historic church and traditional English countryside setting.
-
E.
Ashtead
Ashtead is a large suburban village in Surrey, England, known for its residential character, local amenities, and proximity to the town of Leatherhead.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedee50afc8190bf7b0f4bbe8c60a3 |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5c2fcec8190800d1bda82c7352e |
completed | May 9, 2026, 3:10 a.m. |
Created at: April 10, 2026, 3:01 a.m.