Triple
T11460156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Allerton |
E271632
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Allerton |
E259138
|
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: Allerton | Statement: [Susan Allerton, familyName, Allerton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allerton Context triple: [Susan Allerton, familyName, Allerton]
-
A.
Allerton
Allerton is a residential neighborhood in the northeast Bronx, New York City, characterized by its diverse community and mix of apartment buildings and one- to two-family homes.
-
B.
Allerton
chosen
Allerton is an English surname historically associated with early colonial figures such as Mayflower passenger Isaac Allerton.
-
C.
Allerton
Allerton is a coastal village neighborhood within the town of Hull, Massachusetts, known for its residential seaside setting on Boston’s South Shore.
-
D.
Allerton
Allerton is a suburban residential area of Liverpool, England, known for its leafy streets, parks, and mix of schools and local amenities.
-
E.
Alderton
Alderton is a small rural village and civil parish located in the English county of Suffolk.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f384f08190b1150ed1389dd31a |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e91f1bb881909a9c36d837e4059b |
completed | April 20, 2026, 8:51 a.m. |
Created at: April 8, 2026, 9:35 p.m.