Triple
T3821973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allan Bakke |
E88592
|
entity |
| Predicate | alleged |
P16813
|
FINISHED |
| Object | racial discrimination in admissions |
—
|
LITERAL 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: racial discrimination in admissions | Statement: [Allan Bakke, alleged, racial discrimination in admissions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alleged Context triple: [Allan Bakke, alleged, racial discrimination in admissions]
-
A.
allegedStatus
chosen
Indicates that a particular status or condition is claimed or asserted about an entity, but has not been confirmed as true.
-
B.
allegedUse
Indicates that something is claimed or suspected to have been used, without confirming that the use actually occurred.
-
C.
allegedActor
Indicates that the subject is claimed or accused to be the actor responsible for a particular action or event, without confirming that the claim is true.
-
D.
allegedGoal
Indicates that one entity is claimed or reported to have the goal or intended objective of another entity, without asserting that the goal is actually true.
-
E.
accusedIn
Indicates that a person or entity is formally charged with wrongdoing in a particular case, proceeding, or context.
- 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_69aed9538cf881909d9ce8ca4ac7c18c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef188b474819087680db42b04ecdd |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee74a2bc081909b237df8b1e27653 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:17 p.m.