Triple
T32835486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lincoln McIlravy |
E839814
|
entity |
| Predicate | universityRecognition |
P175847
|
FINISHED |
| Object | one of the University of Iowa’s all-time wrestling greats |
—
|
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: one of the University of Iowa’s all-time wrestling greats | Statement: [Lincoln McIlravy, universityRecognition, one of the University of Iowa’s all-time wrestling greats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: universityRecognition Context triple: [Lincoln McIlravy, universityRecognition, one of the University of Iowa’s all-time wrestling greats]
-
A.
collegeRecognition
Indicates that a college formally acknowledges, honors, or grants status or distinction to an entity.
-
B.
collegeScoringReputation
Indicates the perceived quality or effectiveness of a college’s ability to score points or perform offensively in its competitive context.
-
C.
countryUniversity
Indicates that a university is located in, or belongs to, a particular country.
-
D.
universityCharacteristic
Indicates that a specified characteristic, quality, or attribute is associated with a particular university.
-
E.
university
Indicates that an educational institution of higher learning is associated with or attended by a given entity.
- F. None of above. chosen
Provenance (4 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_69f3493ff0888190b51e974eae2a7834 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d749e7f081909c8196898c4191ad |
completed | May 3, 2026, 5:04 a.m. |
Created at: May 1, 2026, 1:16 a.m.