Triple
T30377851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Gipp |
E772739
|
entity |
| Predicate | passingYardsRecord |
P17446
|
FINISHED |
| Object | among early Notre Dame passing leaders |
—
|
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: among early Notre Dame passing leaders | Statement: [George Gipp, passingYardsRecord, among early Notre Dame passing leaders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: passingYardsRecord Context triple: [George Gipp, passingYardsRecord, among early Notre Dame passing leaders]
-
A.
careerPassingYardsNFL
Indicates the total number of passing yards a player has accumulated over their entire career in the NFL.
-
B.
collegiatePassingYardsLeader
Indicates the player who recorded the highest total passing yards in collegiate football over a specified season or time period.
-
C.
passingYardsInSeason
Indicates the total number of yards a player gained by passing the ball during a specific season.
-
D.
threwTouchdownPassesInSingleSeason
Indicates that one entity (typically a quarterback) successfully threw a certain number of touchdown passes during a single football season.
-
E.
passingYardsCareer
chosen
Indicates the total number of yards a player has gained by passing the ball over the course of their entire career.
- 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_69f2248e3444819081b05712dc6873de |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68515aa2081908bae3de1802bd9df |
completed | May 2, 2026, 11:13 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8 p.m.