Triple
T20233775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seebohm Rowntree |
E495596
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Seebohm |
—
|
NE NERFINISHED |
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: Seebohm | Statement: [Seebohm Rowntree, givenName, Seebohm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seebohm Context triple: [Seebohm Rowntree, givenName, Seebohm]
-
A.
Seebohm
chosen
Seebohm is a surname most notably associated with Henry Seebohm, a 19th-century English ornithologist and steel manufacturer.
-
B.
Bonger
Bonger is a Dutch surname most notably associated with Johanna van Gogh-Bonger, the key figure in preserving and promoting Vincent van Gogh’s artistic legacy.
-
C.
Kraushaar
Kraushaar is a surname most notably associated with Raoul Kraushaar, an American film and television composer active in the mid-20th century.
-
D.
Diebenkorn
Diebenkorn is a surname most prominently associated with American painter Richard Diebenkorn, a leading figure in 20th-century abstract and figurative art.
-
E.
Zellig
Zellig is a given name most notably borne by Zellig Harris, an influential American linguist known for his work in structural linguistics and discourse analysis.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e67167fae88190a26ff10d698174f8 |
completed | April 20, 2026, 6:33 p.m. |
Created at: April 11, 2026, 11:40 p.m.