Triple
T23345888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bradley Prize |
E591863
|
entity |
| Predicate | notableRecipient |
P108
|
FINISHED |
| Object | Mitch Daniels |
—
|
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: Mitch Daniels | Statement: [Bradley Prize, notableRecipient, Mitch Daniels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mitch Daniels Context triple: [Bradley Prize, notableRecipient, Mitch Daniels]
-
A.
Mitch Daniels
chosen
Mitch Daniels is an American politician and academic leader who served as the 49th governor of Indiana and later as president of Purdue University.
-
B.
Eric Holcomb
Eric Holcomb is an American politician serving as the governor of Indiana and a member of the Republican Party.
-
C.
Craig Engler
Craig Engler is a television writer and producer best known as the co-creator of the post-apocalyptic zombie series "Z Nation."
-
D.
Ron Johnson
Ron Johnson is a charismatic, wisecracking student at Hillman College on the sitcom "A Different World," known for his entrepreneurial schemes and close friendships with other main characters.
-
E.
Dan Coats
Dan Coats is an American politician and diplomat who served as a U.S. Senator from Indiana and later as Director of National Intelligence.
- 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1983697408190b31817174ed4e77b |
completed | April 29, 2026, 5:33 a.m. |
Created at: April 17, 2026, 5:19 p.m.