Triple
T29084452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Jesperson |
E734065
|
entity |
| Predicate | buzzerBeater |
P165984
|
FINISHED |
| Object | game-winning shot vs Texas in 2016 NCAA Tournament |
—
|
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: game-winning shot vs Texas in 2016 NCAA Tournament | Statement: [Paul Jesperson, buzzerBeater, game-winning shot vs Texas in 2016 NCAA Tournament]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buzzerBeater Context triple: [Paul Jesperson, buzzerBeater, game-winning shot vs Texas in 2016 NCAA Tournament]
-
A.
hasBuzzer
Indicates that one entity possesses, is equipped with, or includes a buzzer.
-
B.
beater
Indicates that one entity physically strikes, hits, or beats another entity.
-
C.
beatboxer
Indicates that an entity performs vocal percussion or imitates drum sounds using their mouth, lips, tongue, and voice.
-
D.
bout
Indicates a competitive match or contest taking place between two opponents.
-
E.
besieger
Indicates that one entity is laying siege to, or conducting a siege against, another entity.
- 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_69f05b0c0f28819086eae6e84f2ae472 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f6614638d481909dd167f9c8c7055c |
completed | May 2, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65ad638ac8190a17bb987fce53279 |
completed | May 2, 2026, 8:13 p.m. |
Created at: April 28, 2026, 10:58 a.m.