Triple
T30914464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denzel Dumfries |
E787539
|
entity |
| Predicate | FIFAPositionCategory |
P164968
|
FINISHED |
| Object | defender |
—
|
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: defender | Statement: [Denzel Dumfries, FIFAPositionCategory, defender]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FIFAPositionCategory Context triple: [Denzel Dumfries, FIFAPositionCategory, defender]
-
A.
clubPosition
Indicates the specific role or position an individual holds within a sports club or team.
-
B.
roleInSoccer
chosen
Indicates the specific function or position an entity holds within the context of playing or organizing a soccer game.
-
C.
penaltyTakerPosition
Indicates the playing position or role of the player who takes a penalty.
-
D.
coachPositionPlayed
Indicates the role or position a coach played (typically as a player) in the sport they are associated with.
-
E.
typicalPlayingPosition
Indicates the usual role or position an entity regularly occupies when participating in a game, sport, or similar activity.
- 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_69f224be300c8190a6513ce1ee0a7026 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69285fed48190b1eb55ff27eec20b |
completed | May 3, 2026, 12:10 a.m. |
| PD | Predicate disambiguation | batch_69f68b7ec098819080480998038de940 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:51 p.m.