Triple
T37361288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joga Bonito |
E927585
|
entity |
| Predicate | associatedWithPlayerPosition |
P92944
|
FINISHED |
| Object | attacking midfielder |
—
|
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: attacking midfielder | Statement: [Joga Bonito, associatedWithPlayerPosition, attacking midfielder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithPlayerPosition Context triple: [Joga Bonito, associatedWithPlayerPosition, attacking midfielder]
-
A.
associatedWithPlayers
Indicates a relationship in which one or more players are connected, linked, or otherwise involved with the referenced entity.
-
B.
associatedPlayerRole
Indicates a relationship where a specific role or function is linked to, or held by, a particular player.
-
C.
coachPositionPlayed
Indicates the role or position a coach played (typically as a player) in the sport they are associated with.
-
D.
clubPosition
Indicates the specific role or position an individual holds within a sports club or team.
-
E.
includesPositionPlayers
chosen
Indicates that a group, team, or lineup contains players assigned to specific positions.
- 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_69f76eb701788190b40824bc4594d985 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:16 p.m.