Triple
T4613184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger Federer |
E100804
|
entity |
| Predicate | nationalHonor |
P43246
|
FINISHED |
| Object | Swiss Sports Personality of the Year (multiple times) |
—
|
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: Swiss Sports Personality of the Year (multiple times) | Statement: [Roger Federer, nationalHonor, Swiss Sports Personality of the Year (multiple times)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalHonor Context triple: [Roger Federer, nationalHonor, Swiss Sports Personality of the Year (multiple times)]
-
A.
highestStateHonorOf
Indicates that one entity is the most prestigious state-level honor or award conferred by the other entity.
-
B.
honors
Indicates that one entity shows respect, recognition, or esteem toward another entity, often in a formal or ceremonial way.
-
C.
nameHonors
Indicates that a name is given to honor, commemorate, or pay tribute to a particular entity.
-
D.
majorHonor
chosen
Indicates that one entity has received a significant or prestigious honor, award, or distinction from another entity or authority.
-
E.
cultHonors
Indicates that a cult pays reverence, worship, or special honor to a particular figure, object, or concept.
- 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_69bd43cf363c819087fd5ab441b4a3f4 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59c11f5481909f61e23503711cf5 |
completed | March 20, 2026, 2:29 p.m. |
| PD | Predicate disambiguation | batch_69bd522e2d5c8190937d0b5574f78f99 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:12 p.m.