Triple
T26362368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jake Matthews |
E660240
|
entity |
| Predicate | allConferenceHonors |
P121202
|
FINISHED |
| Object | All-SEC |
—
|
NE NERFINISHED |
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-SEC | Statement: [Jake Matthews, allConferenceHonors, All-SEC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allConferenceHonors Context triple: [Jake Matthews, allConferenceHonors, All-SEC]
-
A.
nameHonors
Indicates that a name is given to honor, commemorate, or pay tribute to a particular entity.
-
B.
hasHonorees
Indicates that one entity is recognized or celebrated by listing another entity or entities as its honorees.
-
C.
honoraryAwardsPossible
Indicates that it is possible for honorary awards to be granted or conferred in the given context.
-
D.
includesHonoraryAwardsFor
Indicates that one entity contains or lists honorary awards that have been granted to another entity.
-
E.
honoursAchievement
chosen
Indicates that one entity formally recognizes and celebrates the notable accomplishment or success of another 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_69ee8126d52c8190bc0b34337c2c9aa8 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f610293cd88190894969a031f85edd |
completed | May 2, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69f5f800fa9c8190aab0962669fde8ac |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 10:52 p.m.