Triple
T15457753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mehmet Dalman |
E371814
|
entity |
| Predicate | sportIndustryRole |
P19813
|
FINISHED |
| Object | football club chairman |
—
|
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: football club chairman | Statement: [Mehmet Dalman, sportIndustryRole, football club chairman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportIndustryRole Context triple: [Mehmet Dalman, sportIndustryRole, football club chairman]
-
A.
sportsBusinessRole
chosen
Indicates a professional role or position that an entity holds within the context of sports business or the sports industry.
-
B.
sportIndustry
Indicates a relationship where an entity is involved in, associated with, or part of the sports industry or sports-related economic sector.
-
C.
sportingRoleRecognised
Indicates that a particular sporting role or position has been formally acknowledged or accepted as valid within a given context or system.
-
D.
otherSportIndustry
Indicates a relationship where an entity is involved in, associated with, or belongs to a sports-related industry other than the primary or specified one.
-
E.
hasSportsRole
Indicates that an entity holds or is assigned a specific role or position within a sports context or organization.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f1623f0819086f6fc2bfd536609 |
completed | April 16, 2026, 1:44 a.m. |
| PD | Predicate disambiguation | batch_69ded284bd008190b31c53b4f1cebadd |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:31 a.m.