Triple
T7451963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kliff Kingsbury |
E172027
|
entity |
| Predicate | roleAtUSC |
P38510
|
FINISHED |
| Object | offensive analyst |
—
|
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: offensive analyst | Statement: [Kliff Kingsbury, roleAtUSC, offensive analyst]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtUSC Context triple: [Kliff Kingsbury, roleAtUSC, offensive analyst]
-
A.
roleAtUCSD
Indicates that an entity holds or has held a specific role or position at the University of California, San Diego (UCSD).
-
B.
roleAtInstitution
chosen
Indicates that an entity holds or has held a specific role or position within a particular institution.
-
C.
campusRole
Indicates the specific position, function, or capacity an individual holds within a campus or academic institution.
-
D.
studentOrAssistant
Indicates that an individual has the role of either a student or an assistant in a given context or relationship.
-
E.
hasOrganizationalComponent
Indicates that one entity includes, comprises, or is associated with another entity as a structural or functional part of an organization.
- 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_69c68a66554c8190add75c65942c0317 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f38d6a8c8190af2e73c719da87a6 |
completed | March 27, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69c6f039f7248190bb4183f97b605763 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:14 p.m.