Triple
T20722505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Bosa |
E509353
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Nick Bosa |
—
|
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: Nick Bosa | Statement: [Nick Bosa, nickname, Nick Bosa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Bosa Context triple: [Nick Bosa, nickname, Nick Bosa]
-
A.
Nick Bosa
chosen
Nick Bosa is an American football defensive end for the San Francisco 49ers, widely regarded as one of the NFL’s premier pass rushers.
-
B.
Von Miller
Von Miller is an American football outside linebacker renowned as one of the NFL’s premier pass rushers, primarily with the Denver Broncos.
-
C.
Micah Parsons
Micah Parsons is an American football linebacker for the Dallas Cowboys, widely regarded as one of the NFL’s most dominant and versatile defensive players.
-
D.
Quenton Nelson
Quenton Nelson is an American football guard in the NFL, best known as a dominant All-Pro lineman for the Indianapolis Colts.
-
E.
Aaron Donald
Aaron Donald is a dominant American football defensive tackle, widely regarded as one of the greatest defensive players in NFL history.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c4cc648190b45fda6e2b20af56 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1d6bdcc8190ba42c44159a2c0d5 |
completed | April 21, 2026, 12:16 a.m. |
Created at: April 16, 2026, 12:27 p.m.