Triple
T20656277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Byron Leftwich |
E507632
|
entity |
| Predicate | playedPositionInNFL |
P109980
|
FINISHED |
| Object | quarterback |
—
|
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: quarterback | Statement: [Byron Leftwich, playedPositionInNFL, quarterback]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedPositionInNFL Context triple: [Byron Leftwich, playedPositionInNFL, quarterback]
-
A.
spentEntireNflCareerWith
Indicates that an NFL player spent their whole professional NFL career playing for a single team, without ever joining another NFL franchise.
-
B.
playedInNFCChampionshipGameWith
Indicates that two players participated together on the same team in at least one NFC Championship Game.
-
C.
joinedNFL
Indicates that an entity became a member of, or started playing in, the National Football League (NFL).
-
D.
playedAmericanFootball
chosen
Indicates that one entity participated in playing American football, either professionally, collegiately, or at another organized level, during some period of time.
-
E.
proBowlAppearanceCount
Indicates the number of times an entity has appeared in the Pro Bowl.
- 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_69e0b4bf58c081908e52a4500e03ff83 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2ed48308190b9350a323b9a7952 |
completed | April 20, 2026, 11:12 p.m. |
| PD | Predicate disambiguation | batch_69e5c0315f5081908098707c6455e56e |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 11:43 a.m.