Triple
T2646932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Marino |
E53805
|
entity |
| Predicate | setSingleSeasonPassingYardsRecord |
P36480
|
FINISHED |
| Object | 5084 |
—
|
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: 5084 | Statement: [Dan Marino, setSingleSeasonPassingYardsRecord, 5084]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setSingleSeasonPassingYardsRecord Context triple: [Dan Marino, setSingleSeasonPassingYardsRecord, 5084]
-
A.
NFLRecordHeld
chosen
Indicates that one entity holds or has held a specific NFL record associated with another entity (such as a statistic, category, or achievement).
-
B.
ledNFLInPassingYards
Indicates that the subject was the league leader in total passing yards in the NFL for a given season.
-
C.
bestSeasonRecord
Indicates that one entity holds the best (most successful) season performance record among a set of entities, typically in a competitive or statistical context.
-
D.
passingTouchdownsCareer
Indicates the total number of touchdown passes a player has thrown over the course of their entire career.
-
E.
isAllTimeRecordHolderFor
Indicates that an entity holds the highest or best performance record of all time for a particular category, event, or metric.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd919bf2c81908feb768f3391e985 |
completed | March 7, 2026, 7:51 a.m. |
| PD | Predicate disambiguation | batch_69abd814298c8190952f05aed43f6bb8 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:53 p.m.