Triple
T15685650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Collins |
E380190
|
entity |
| Predicate | hasCollegeHonor |
P77769
|
FINISHED |
| Object | First-team All-ACC |
—
|
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: First-team All-ACC | Statement: [John Collins, hasCollegeHonor, First-team All-ACC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCollegeHonor Context triple: [John Collins, hasCollegeHonor, First-team All-ACC]
-
A.
hasHonorsCollege
Indicates that an educational institution includes or is associated with an honors college program.
-
B.
graduatedWithHonors
Indicates that an entity completed an academic program with a distinction or honors-level achievement according to the institution’s criteria.
-
C.
collegeHonors
chosen
Indicates that an individual has received formal academic honors or distinctions from a college.
-
D.
hasCollegeType
Indicates that a college or educational institution is classified as having a specific type or category (e.g., public, private, community, technical).
-
E.
hasCollegeService
Indicates that an entity provides or is associated with a service offered by a college or higher-education institution.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4b73d881908ec0f21393a01969 |
completed | April 16, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69deda8c856c8190882330114f9a1a5f |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:44 a.m.