Triple
T1475751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silas Deane |
E30836
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Deane |
E151272
|
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: Deane | Statement: [Silas Deane, familyName, Deane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deane Context triple: [Silas Deane, familyName, Deane]
-
A.
Deane
chosen
Deane is a given name and surname used in English-speaking countries, often considered a variant spelling of Dean.
-
B.
Lorne
Lorne is a masculine given name most notably associated with Canadian-American television producer and "Saturday Night Live" creator Lorne Michaels.
-
C.
Verna
Verna is a feminine given name that gained particular recognition through film editor Verna Fields, known for her work on movies like "Jaws."
-
D.
Kinsealy
Kinsealy is a suburban locality in north County Dublin, Ireland, known for its residential character and proximity to Swords and Dublin city.
-
E.
Ennis
Ennis is a small Texas city known for its historic downtown, annual Bluebonnet Trails Festival, and location along major transportation routes south of Dallas.
- 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c602387c8190b97a20c8e05e3d16 |
completed | March 1, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad15ab9430819094deb90436983036 |
completed | March 8, 2026, 6:22 a.m. |
Created at: March 1, 2026, 8:11 p.m.