Triple
T20429948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel W. Carmichael |
E501103
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Daniel W. Carmichael |
—
|
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: Daniel W. Carmichael | Statement: [Daniel W. Carmichael, name, Daniel W. Carmichael]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel W. Carmichael Context triple: [Daniel W. Carmichael, name, Daniel W. Carmichael]
-
A.
Daniel W. Carmichael
chosen
Daniel W. Carmichael was a notable individual significant enough in his community or field to have a place or institution named in his honor.
-
B.
Daniel G. Aldrich
Daniel G. Aldrich was the founding chancellor of the University of California, Irvine, and a key figure in the campus’s early development and planning.
-
C.
Daniel C. Woods
Daniel C. Woods was an early settler and prominent local figure in Utah Territory for whom the city of Woods Cross is named.
-
D.
Peter K. Kilpatrick
Peter K. Kilpatrick is an American chemical engineer and academic leader who serves as the president of The Catholic University of America.
-
E.
Mark P. McCahill
Mark P. McCahill is an American computer scientist best known for pioneering early internet technologies, including creating the Gopher protocol for distributed document search and retrieval.
- 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_69e0b4aa68fc8190b1a14c55575ef04a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67bac39288190b294b291301ac843 |
completed | April 20, 2026, 7:17 p.m. |
Created at: April 16, 2026, 11:31 a.m.