Triple
T885357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl Monroe |
E19117
|
entity |
| Predicate | collegeAward |
P11
|
FINISHED |
| Object | NCAA Division II national champion |
—
|
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: NCAA Division II national champion | Statement: [Earl Monroe, collegeAward, NCAA Division II national champion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collegeAward Context triple: [Earl Monroe, collegeAward, NCAA Division II national champion]
-
A.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
B.
awardClass
Indicates the classification or category assigned to an award within an award-giving system.
-
C.
awardReceived
chosen
Indicates that an entity has been granted or honored with a specific award or recognition.
-
D.
awardType
Indicates the specific category or kind of award associated with an entity or event.
-
E.
awardName
Indicates the specific name or title of an award associated with an entity.
- 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_69a4939c32488190a7ccd41cf0abb22b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ae787bf081909533082ca013624a |
completed | March 1, 2026, 9:24 p.m. |
| PD | Predicate disambiguation | batch_69a4aa8ff8c48190a33b00acf65c1276 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.