Triple
T13464778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UC Davis Aggies football |
E311466
|
entity |
| Predicate | notableAlumnus |
P304
|
FINISHED |
| Object | Ken O'Brien |
E1077907
|
NE 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: Ken O'Brien | Statement: [UC Davis Aggies football, notableAlumnus, Ken O'Brien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ken O'Brien Context triple: [UC Davis Aggies football, notableAlumnus, Ken O'Brien]
-
A.
Ken O'Brien
chosen
Ken O'Brien is a former American football quarterback best known for his Pro Bowl career with the New York Jets in the 1980s.
-
B.
Graham O'Brien
Graham O'Brien is a companion of the Thirteenth Doctor in the long-running British science fiction television series Doctor Who.
-
C.
Barry O’Brien
Barry O’Brien is an American television writer and producer best known for co-creating the hit Disney Channel series "Hannah Montana."
-
D.
Greg O’Connor
Greg O’Connor is a film producer known for his work on crime and drama features, including the 2008 police drama "Pride and Glory."
-
E.
Michael O’Rourke
Michael O’Rourke is an Irish media entrepreneur best known as a co-founder of the international sports television network Setanta Sports.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf0f1830819085700b4521e44678 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf06a3e208190a24e6cd9cb97e99c |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 9, 2026, 9:41 p.m.