Triple
T38293765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Taylor |
E1022434
|
entity |
| Predicate | notableCollegeAward |
P32108
|
FINISHED |
| Object | Doak Walker Award |
E626902
|
NE 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: Doak Walker Award | Statement: [Jonathan Taylor, notableCollegeAward, Doak Walker Award]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableCollegeAward Context triple: [Jonathan Taylor, notableCollegeAward, Doak Walker Award]
-
A.
notableAwardOrHonor
Indicates that an entity has received a specific notable award or honor.
-
B.
notableAwardWon
chosen
Indicates that an entity has received a specific notable award as a winner.
-
C.
notableAwardedFor
Indicates that an award is notable specifically for being given in recognition of a particular work, achievement, or contribution.
-
D.
isMajorCollegeAward
Indicates that an award is recognized as a major or highly prestigious college-level honor.
-
E.
collegeAwardYear
Indicates the year in which a college-level award was granted or conferred.
- F. None of above.
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_69f76df190f081908d5aa02c8a9286d0 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a419e01adc081908f43d31feae9c1f5 |
completed | June 28, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:30 p.m.