Triple
T36951155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2008 Orange Bowl |
E914065
|
entity |
| Predicate | VirginiaTechHeadCoach |
P189492
|
FINISHED |
| Object | Frank Beamer |
—
|
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: Frank Beamer | Statement: [2008 Orange Bowl, VirginiaTechHeadCoach, Frank Beamer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: VirginiaTechHeadCoach Context triple: [2008 Orange Bowl, VirginiaTechHeadCoach, Frank Beamer]
-
A.
IndianaHeadCoach
Indicates that a person holds or has held the position of head coach for a sports team representing the state or institution of Indiana.
-
B.
oregonStateHeadCoach
Indicates that a person serves as the head coach of a sports team representing Oregon State University.
-
C.
NebraskaHeadCoach
Indicates that the subject serves as the head coach of a sports team representing the University of Nebraska.
-
D.
dukeCoach
Indicates that one entity serves as a coach for a sports team or program associated with Duke University.
-
E.
OklahomaHeadCoach
Indicates that a person serves or has served as the head coach of a sports team representing the University of Oklahoma.
- F. None of above. chosen
Provenance (4 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_69f76e8b28848190abd81fe7a7374910 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69fbc36bcac48190a726b40442c094d1 |
completed | May 6, 2026, 10:40 p.m. |
Created at: May 3, 2026, 4:13 p.m.