Triple
T5065223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kerry Collins |
E114125
|
entity |
| Predicate | collegeAwardReceived |
P45356
|
FINISHED |
| Object | All-American honors |
—
|
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: All-American honors | Statement: [Kerry Collins, collegeAwardReceived, All-American honors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collegeAwardReceived Context triple: [Kerry Collins, collegeAwardReceived, All-American honors]
-
A.
awardReceived
Indicates that an entity has been granted or honored with a specific award or recognition.
-
B.
awardConferred
Indicates that an award or honor has been formally granted by one entity to another.
-
C.
recipientOfAward
chosen
Indicates that an entity has received or been granted a particular award.
-
D.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
E.
relatedAward
Indicates that there is an award connected or associated with the subject entity, such as an honor, prize, or recognition related to it.
- 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7478f7988190bc0473e8af055147 |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd715622b48190a3e8e49a5ef62b4a |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:38 p.m.