Triple
T35300426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruud van Nistelrooij |
E1019487
|
entity |
| Predicate | youthCoachOf |
P164208
|
FINISHED |
| Object | PSV Eindhoven youth teams |
—
|
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: PSV Eindhoven youth teams | Statement: [Ruud van Nistelrooij, youthCoachOf, PSV Eindhoven youth teams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: youthCoachOf Context triple: [Ruud van Nistelrooij, youthCoachOf, PSV Eindhoven youth teams]
-
A.
coachSince
Indicates that one entity has been serving as a coach for another entity starting from a specified point in time.
-
B.
coachOf
Indicates that one entity serves as the coach (trainer or manager) of another entity, typically a person or team.
-
C.
playingCoach
Indicates a person who simultaneously serves as both a player and a coach for the same team or organization.
-
D.
coachesFor
chosen
Indicates that one entity serves as a coach or trainer for another entity, typically providing guidance, instruction, or leadership in a specific activity or domain.
-
E.
featuredCoach
Indicates that a particular coach is highlighted or given special prominence within a specific context or collection.
- 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_69f76de7eedc8190a3bdc64ebbc05b42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7902142ec8190b515088fb68e7a3e |
completed | May 3, 2026, 6:12 p.m. |
| PD | Predicate disambiguation | batch_69f78e2f52e08190a77661223a96c601 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:03 p.m.