Triple
T37545127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babe Parilli |
E933442
|
entity |
| Predicate | passesThrownInAFL |
P188243
|
FINISHED |
| Object | over 3,400 |
—
|
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: over 3,400 | Statement: [Babe Parilli, passesThrownInAFL, over 3,400]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: passesThrownInAFL Context triple: [Babe Parilli, passesThrownInAFL, over 3,400]
-
A.
interceptionsThrown
Indicates the number of times a pass thrown by a player is caught by the opposing team’s defense (i.e., intercepted).
-
B.
passingYardsInAFL
chosen
Indicates the number of yards a player gains by passing the ball in an AFL (American Football League) game or season.
-
C.
passingTouchdownsCareer
Indicates the total number of touchdown passes a player has thrown over the course of their entire career.
-
D.
threwTouchdownPassesInSingleSeason
Indicates that one entity (typically a quarterback) successfully threw a certain number of touchdown passes during a single football season.
-
E.
fielderThrows
Indicates that a fielder throws the ball, typically to another player or toward a base.
- 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_69f76eca55bc8190acf25741793d5dac |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:17 p.m.