Triple
T3524742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ralph Wilson Stadium |
E74509
|
entity |
| Predicate | namedForRoleOfPerson |
P12885
|
FINISHED |
| Object | Ralph Wilson as founder and owner of the Buffalo Bills |
—
|
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: Ralph Wilson as founder and owner of the Buffalo Bills | Statement: [Ralph Wilson Stadium, namedForRoleOfPerson, Ralph Wilson as founder and owner of the Buffalo Bills]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedForRoleOfPerson Context triple: [Ralph Wilson Stadium, namedForRoleOfPerson, Ralph Wilson as founder and owner of the Buffalo Bills]
-
A.
namedPersonRole
chosen
Indicates that a person is identified by name as holding a specific role or position in a given context.
-
B.
namedForPoliticalRole
Indicates that one entity is named after another entity specifically because of that entity’s political office, position, or role.
-
C.
namedPersonOccupation
Indicates that a person is explicitly identified as having a particular occupation or job role.
-
D.
hasOrganizationalRole
Indicates that an entity holds a specific role, position, or function within an organization.
-
E.
namedIn
Indicates that one entity is explicitly mentioned or referenced by name within another entity (such as a document, statement, or record).
- 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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc68b15881909b407486946ec3c5 |
completed | March 8, 2026, 6:14 p.m. |
| PD | Predicate disambiguation | batch_69adae121a048190b03825a001d21f49 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:19 p.m.