Triple
T29024526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korey Wise |
E737550
|
entity |
| Predicate | hasNamedFund |
P185991
|
FINISHED |
| Object | Korey Wise Innocence Project at the University of Colorado Law School |
—
|
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: Korey Wise Innocence Project at the University of Colorado Law School | Statement: [Korey Wise, hasNamedFund, Korey Wise Innocence Project at the University of Colorado Law School]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNamedFund Context triple: [Korey Wise, hasNamedFund, Korey Wise Innocence Project at the University of Colorado Law School]
-
A.
имеетФонд
chosen
Indicates that an entity possesses, is associated with, or is supported by a specific fund.
-
B.
hasSubFund
Indicates that an entity (typically a fund) includes or controls another fund as a subordinate or component fund within its structure.
-
C.
fundedBy
Indicates that an entity receives financial support or resources from another entity.
-
D.
hasNameGivenTo
Indicates that one entity is the name that has been assigned or given to another entity.
-
E.
usedFund
Indicates that one entity expended or applied a particular fund or financial resource for some purpose.
- F. None of above.
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_69f077ef00fc81909325f084ad37c035 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fd49f6dbac81909744373a357b7982 |
completed | May 8, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69fd48ed68f481908374183c66a6b055 |
completed | May 8, 2026, 2:22 a.m. |
Created at: April 28, 2026, 9:51 a.m.