Triple
T16416470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Sipe |
E398697
|
entity |
| Predicate | touchdownPassesInSeason |
P84439
|
FINISHED |
| Object | 30 (1980) |
—
|
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: 30 (1980) | Statement: [Brian Sipe, touchdownPassesInSeason, 30 (1980)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: touchdownPassesInSeason Context triple: [Brian Sipe, touchdownPassesInSeason, 30 (1980)]
-
A.
passingTouchdownsCareer
Indicates the total number of touchdown passes a player has thrown over the course of their entire career.
-
B.
rushingTouchdownsInSeason
Indicates the number of rushing touchdowns a player scores during a single season.
-
C.
touchdownsScored
Indicates the number of touchdowns that an entity has scored.
-
D.
NFLTouchdownPasses
Indicates that a player successfully throws a pass that results in a touchdown being scored in an NFL game.
-
E.
threwTouchdownPassesInSingleSeason
chosen
Indicates that one entity (typically a quarterback) successfully threw a certain number of touchdown passes during a single football season.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32877ff248190886717d3329421a7 |
completed | April 18, 2026, 6:45 a.m. |
| PD | Predicate disambiguation | batch_69e226fe1dd08190865c181721f8c348 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:09 a.m.