Triple
T3167106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamil Walker |
E66236
|
entity |
| Predicate | typeOfPlayer |
P33092
|
FINISHED |
| Object | professional soccer player |
—
|
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: professional soccer player | Statement: [Jamil Walker, typeOfPlayer, professional soccer player]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfPlayer Context triple: [Jamil Walker, typeOfPlayer, professional soccer player]
-
A.
typeOfAthlete
chosen
Indicates that one entity is an athlete and the other specifies the kind or category of athlete they are.
-
B.
associatedPlayerRole
Indicates a relationship where a specific role or function is linked to, or held by, a particular player.
-
C.
player
Indicates that an entity participates in a game, sport, or activity in the role of a player.
-
D.
typeOfRole
Indicates that one entity specifies the kind or category of role that another entity holds or performs.
-
E.
typeOfFootball
Indicates the specific code or variant of football that characterizes or classifies a given football-related entity.
- 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_69ad8585d7988190af37365331093ccd |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada643e3e481908f4526d66e36e150 |
completed | March 8, 2026, 4:39 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfe0a948190928f2201d671c654 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:06 p.m.