Triple
T17450050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jimmy Garoppolo |
E424889
|
entity |
| Predicate | primaryRoleWith49ers |
P94857
|
FINISHED |
| Object | starting 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: starting quarterback | Statement: [Jimmy Garoppolo, primaryRoleWith49ers, starting quarterback]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryRoleWith49ers Context triple: [Jimmy Garoppolo, primaryRoleWith49ers, starting quarterback]
-
A.
roleAtSanFrancisco49ers
chosen
Indicates that an entity holds or has held a specific role or position with the San Francisco 49ers organization.
-
B.
roleInMinnesotaVikings
Indicates that an entity holds or has held a specific role or position within the Minnesota Vikings organization.
-
C.
roleAtNewEnglandPatriots
Indicates the specific role, position, or capacity an entity holds within the New England Patriots organization.
-
D.
roleAtTampaBayBuccaneers
Indicates that an entity holds or held a specific role or position within the Tampa Bay Buccaneers organization.
-
E.
49ersQuarterback
Indicates that the subject is a quarterback who plays for the San Francisco 49ers football team.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4513d00f48190802a3bdc8c8f4db5 |
completed | April 19, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f0e3fc819094e466b74622c956 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:47 a.m.