Triple
T10799147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert De Witt |
E254791
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Robert De Witt |
E254791
|
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: Robert De Witt | Statement: [Robert De Witt, name, Robert De Witt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert De Witt Context triple: [Robert De Witt, name, Robert De Witt]
-
A.
Robert De Witt
chosen
Robert De Witt is a person notable enough to be recognized as a namesake of the surname De Witt.
-
B.
John Sheldon
John Sheldon was a colonial militia leader from Deerfield, Massachusetts, known for his role in defending the town during the 1704 Deerfield Massacre and later diplomatic missions to negotiate the release of captives.
-
C.
Robert Wald
Robert Wald is a prominent American theoretical physicist renowned for his contributions to general relativity and black hole physics, as well as for authoring influential textbooks in the field.
-
D.
Bryan DeWitt
Bryan DeWitt is a person notable enough to be recognized as a bearer of the De Witt surname.
-
E.
William M. Hartmann
William M. Hartmann is an American physicist and psychoacoustician known for his influential research on auditory perception and acoustics.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733366c408190bfd3b57be5ef2440 |
completed | April 9, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb0d849888190be46616ecc97c2b1 |
completed | April 14, 2026, 9:25 p.m. |
Created at: April 8, 2026, 9:17 p.m.