Triple
T12580381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Chilton |
E300319
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Chilton |
E367437
|
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: Chilton | Statement: [Mary Chilton, familyName, Chilton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chilton Context triple: [Mary Chilton, familyName, Chilton]
-
A.
Chilton
Chilton is a small village and civil parish located within the county of Suffolk in eastern England.
-
B.
Chilton
chosen
Chilton is a surname of English origin borne by various notable individuals across fields such as the military, politics, and the arts.
-
C.
Hailwood
Hailwood is the surname of legendary British motorcycle racer Mike Hailwood, widely regarded as one of the greatest riders in the history of the sport.
-
D.
Chas
Chas is a prominent suburban town and commercial hub located near Bokaro Steel City in the Indian state of Jharkhand.
-
E.
Chas
Chas is a common diminutive or nickname for the given name Charles.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6559ba5108190b85be540a405eec8 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 9, 2026, 5:01 p.m.