Triple
T28580623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2009 NFC Championship |
E723363
|
entity |
| Predicate | notableQuarterbackAwayTeam |
P75474
|
FINISHED |
| Object | Brett Favre |
—
|
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: Brett Favre | Statement: [2009 NFC Championship, notableQuarterbackAwayTeam, Brett Favre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableQuarterbackAwayTeam Context triple: [2009 NFC Championship, notableQuarterbackAwayTeam, Brett Favre]
-
A.
quarterbackOfAwayTeam
Indicates that one entity is the quarterback playing for the away (visiting) team in a given game or matchup.
-
B.
notablePlayQuarterback
Indicates that the subject is notably recognized for playing the position of quarterback, typically in a significant or distinguished context.
-
C.
notablePlayerAwayTeam
chosen
Indicates that a specific player is recognized as a notable or standout member of the away team in a given game or event.
-
D.
notableFormerQuarterback
Indicates that the subject was previously a quarterback and is recognized as notable or distinguished in that former role.
-
E.
teamQuarterbackWinner
Indicates that the specified quarterback is the winning team's quarterback in a particular game or competition.
- 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_69f01d7e97708190ae9e77ee66a68abd |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_6a013c50bcb8819086d163f1a796a9b8 |
completed | May 11, 2026, 2:17 a.m. |
| PD | Predicate disambiguation | batch_6a013c01bac88190b15c70910c02a8a7 |
completed | May 11, 2026, 2:16 a.m. |
Created at: April 28, 2026, 4:14 a.m.