Triple
T9444634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Dole |
E227732
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Dole |
E227732
|
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: Dole | Statement: [Elizabeth Dole, familyName, Dole]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dole Context triple: [Elizabeth Dole, familyName, Dole]
-
A.
Dole
Dole is a historic town in eastern France known for its well-preserved old center and as the birthplace of scientist Louis Pasteur.
-
B.
Dole
chosen
Dole is a surname most prominently associated with American politician and former U.S. Senator Bob Dole.
-
C.
Dole-kun
Dole-kun is the official mascot character of the Japanese professional football club Hokkaido Consadole Sapporo.
-
D.
Papay
Papay is a small settlement on the Orkney island of Papa Westray in Scotland.
-
E.
Milton Banana
Milton Banana was a Brazilian drummer renowned for his pioneering role in the development and popularization of bossa nova.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f32aee88190a43573f97fa1e49d |
completed | April 1, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1225df53c819091b64f8cda159ae9 |
completed | April 4, 2026, 2:38 p.m. |
Created at: March 30, 2026, 7:51 p.m.