Triple
T6524664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deen |
E151271
|
entity |
| Predicate | relatedName |
P3889
|
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: [Deen, relatedName, Deane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deane Context triple: [Deen, relatedName, Deane]
-
A.
Deane
chosen
Deane is a given name and surname used in English-speaking countries, often considered a variant spelling of Dean.
-
B.
Brannan
Brannan is a surname of English and Irish origin borne by various notable individuals, including American politician Charles F. Brannan.
-
C.
Dalane
Dalane is a traditional district in southwestern Norway known for its rugged coastal landscape, rocky terrain, and small industrial and fishing communities.
-
D.
Noland
Noland is a surname most notably associated with Kenneth Noland, an influential American abstract painter linked to the Color Field movement.
-
E.
Corrsin
Corrsin is a surname most notably associated with Stanley Corrsin, an influential American fluid dynamicist known for his work on turbulence.
- 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ad9831f88190a2b64cf6bc8c9a11 |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d52372d08190a98c611dabc27c85 |
completed | March 27, 2026, 7:06 p.m. |
Created at: March 27, 2026, 1:45 p.m.