Triple
T37545115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babe Parilli |
E933442
|
entity |
| Predicate | coachedForLeague |
P188715
|
FINISHED |
| Object | World Football League |
—
|
NE NERFINISHED |
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: World Football League | Statement: [Babe Parilli, coachedForLeague, World Football League]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachedForLeague Context triple: [Babe Parilli, coachedForLeague, World Football League]
-
A.
coachedInConference
Indicates that a person served as a coach for a team or organization while it was competing within a specific conference.
-
B.
coachedInRegion
Indicates that a person or organization has provided coaching activities within a specified geographic region.
-
C.
coachedFrom
Indicates that one entity served as a coach or trainer for another entity during a specified period or context.
-
D.
coachedAgainst
Indicates that one person served as a coach of a team that competed in opposition to a team coached by another person.
-
E.
coachedGamesFor
Indicates that one entity served as the coach in a set of games for another entity (such as a team or player).
- 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_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. |
| PDg | Predicate description generation | batch_69fbacaea12c8190a4c99e64335f0e7e |
completed | May 6, 2026, 9:03 p.m. |
Created at: May 3, 2026, 4:17 p.m.