Triple
T30090031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denis Pagan |
E764703
|
entity |
| Predicate | coachedGamesFor |
P172173
|
FINISHED |
| Object | North Melbourne Football Club |
—
|
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: North Melbourne Football Club | Statement: [Denis Pagan, coachedGamesFor, North Melbourne Football Club]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachedGamesFor Context triple: [Denis Pagan, coachedGamesFor, North Melbourne Football Club]
-
A.
gameCoached
Indicates that one entity served as the coach for another entity in the context of a specific game or match.
-
B.
coachedAgainst
Indicates that one person served as a coach of a team that competed in opposition to a team coached by another person.
-
C.
notableGameCoached
Indicates that a person served as a coach in a particular notable game or match.
-
D.
coachedInConference
Indicates that a person served as a coach for a team or organization while it was competing within a specific conference.
-
E.
bowlGamesCoached
Indicates the number of postseason bowl games in which a coach has served as the head coach for a team.
- 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_69f22473c0fc8190a926a8051b3b378b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6a9603b208190b3533ea2b441514c |
completed | May 3, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f6a915ead881909463ae46419c343e |
completed | May 3, 2026, 1:47 a.m. |
Created at: April 29, 2026, 7:05 p.m.