Triple
T28193240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wesley Sneijder |
E716371
|
entity |
| Predicate | styleOfPlayComparedTo |
P151151
|
FINISHED |
| Object | classic number 10 playmaker |
—
|
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: classic number 10 playmaker | Statement: [Wesley Sneijder, styleOfPlayComparedTo, classic number 10 playmaker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: styleOfPlayComparedTo Context triple: [Wesley Sneijder, styleOfPlayComparedTo, classic number 10 playmaker]
-
A.
styleOfPlay
Indicates the characteristic manner or approach in which an entity performs or behaves, especially in a game, sport, or artistic context.
-
B.
playsInStyleOf
chosen
Indicates that one entity performs, creates, or behaves in a manner characteristic of another entity’s style.
-
C.
typeOfPlayStrength
Indicates the relative intensity or power level with which a play or move is executed or characterized.
-
D.
isOftenPlayedFor
Indicates that one entity is frequently performed, used, or presented for the benefit, enjoyment, or experience of another entity.
-
E.
playstyleWeakness
Indicates a relationship where one playstyle is particularly vulnerable or disadvantaged when facing another playstyle.
- 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_69efd6b612f48190a72012b520afbd10 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6645ba71c81908044ade6ab577018 |
completed | May 2, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f663362c008190a22afed262f1e426 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 27, 2026, 10:26 p.m.