Triple
T10980311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Elizabeth Alexander Hanford |
E259485
|
entity |
| Predicate | hasMarriedName |
P14292
|
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: [Mary Elizabeth Alexander Hanford, hasMarriedName, Dole]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dole Context triple: [Mary Elizabeth Alexander Hanford, hasMarriedName, 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
Dole is a major American agricultural multinational best known for producing and marketing fresh fruits, vegetables, and packaged fruit products worldwide.
-
D.
Dole-kun
Dole-kun is the official mascot character of the Japanese professional football club Hokkaido Consadole Sapporo.
-
E.
Papay
Papay is a small settlement on the Orkney island of Papa Westray in Scotland.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d772e97cf88190a65dab3ec4e5f7f3 |
completed | April 9, 2026, 9:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d7cb8fe08190b9de7b970968da48 |
completed | April 18, 2026, 1 a.m. |
Created at: April 8, 2026, 9:24 p.m.