Triple
T8463763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Ryan |
E200106
|
entity |
| Predicate | seasonMostAssociatedWith |
P83435
|
FINISHED |
| Object | 2016 NFL season |
—
|
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: 2016 NFL season | Statement: [Matt Ryan, seasonMostAssociatedWith, 2016 NFL season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonMostAssociatedWith Context triple: [Matt Ryan, seasonMostAssociatedWith, 2016 NFL season]
-
A.
teamMostAssociatedWith
Indicates the team with which an entity is most strongly or primarily associated, relative to other possible team affiliations.
-
B.
seasonMostAssociatedWithSuperBowl
Indicates the season of the year with which the Super Bowl is most closely associated.
-
C.
seasonBestKnownFor
Indicates the work, achievement, or characteristic for which a particular season is most notably recognized.
-
D.
seasonLedTeam
Indicates that, during a specific season, one entity served as the leader or head of a particular team.
-
E.
mostWinsYears
Indicates the years during which an entity achieved the highest number of wins compared to others or compared to its own performance in other years.
- 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_69ca83198c4c8190a337bf717d1813f5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4a39bd48190b72be7e03cff323b |
completed | March 31, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_69cbd10072cc819084be1ed9ac7ebe9d |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe30c2d088190b4cb89adb4e88273 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:10 p.m.