Triple
T28549372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elvis Stojko |
E722838
|
entity |
| Predicate | olympicMedalist |
P167366
|
FINISHED |
| Object | silver medal |
—
|
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: silver medal | Statement: [Elvis Stojko, olympicMedalist, silver medal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: olympicMedalist Context triple: [Elvis Stojko, olympicMedalist, silver medal]
-
A.
isOlympicMedalistIn
Indicates that an individual has won at least one Olympic medal in a specified sport or event.
-
B.
worldMedalist
Indicates that an entity has won a medal at a recognized world-level championship or world competition.
-
C.
OlympicGoldMedalistFor
Indicates that an entity has won a gold medal at the Olympic Games while representing a specified country, team, or organization.
-
D.
firstOlympicMedalist
Indicates that the subject is the first entity ever to win an Olympic medal for the object (such as a country, team, or group).
-
E.
olympicGoldMedals
Indicates that an entity has won one or more Olympic gold medals.
- F. None of above. chosen
Provenance (4 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_69f01a60204481909af1bb76247b8221 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f66a6468ec8190a43ed6cd8c797f42 |
completed | May 2, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 3:41 a.m.