Triple
T13626671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baltimore Colts offense |
E325599
|
entity |
| Predicate | quarterbackNumber |
P111357
|
FINISHED |
| Object | 19 |
—
|
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: 19 | Statement: [Baltimore Colts offense, quarterbackNumber, 19]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quarterbackNumber Context triple: [Baltimore Colts offense, quarterbackNumber, 19]
-
A.
JetsQuarterback
Indicates that the subject is a quarterback who plays for, or is associated with, the New York Jets football team.
-
B.
NFCChampionQuarterback
Indicates that the subject is a quarterback who has won the NFC Championship (i.e., led a team to an NFC Championship title).
-
C.
quarterback
Indicates that an entity performs the role or action of playing as the quarterback in a football context for another entity (such as a team).
-
D.
teamQuarterbackWinner
Indicates that the specified quarterback is the winning team's quarterback in a particular game or competition.
-
E.
SeattleQuarterback
Indicates that an entity serves as the quarterback for a football team based in Seattle.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60635d08190899806fe8936f02a |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe85e1c4819095194f4b7f9f6118 |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc6043e148190a2a25f929cfa35e5 |
completed | April 12, 2026, 4:19 p.m. |
Created at: April 9, 2026, 9:51 p.m.