Triple
T838455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valeri Kamensky |
E18122
|
entity |
| Predicate | WorldChampionshipGoldMedalYear |
P20509
|
FINISHED |
| Object | 1986 |
—
|
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: 1986 | Statement: [Valeri Kamensky, WorldChampionshipGoldMedalYear, 1986]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WorldChampionshipGoldMedalYear Context triple: [Valeri Kamensky, WorldChampionshipGoldMedalYear, 1986]
-
A.
worldChampionshipGoldMedals
Indicates the number of gold medals an entity has won at world championship competitions.
-
B.
worldChampionshipSilverMedals
Indicates that the subject has won one or more silver medals at a world championship competition.
-
C.
worldChampionshipBronzeMedals
Indicates the number of bronze medals an entity has earned at world championship competitions.
-
D.
wonOlympicGoldYear
Indicates that an entity won an Olympic gold medal in the specified year.
-
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_69a49389f44881909a608fb27d89f247 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abd0e8bc8190afe29cd4745c2f86 |
completed | March 1, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69a4aa7dfc5c8190890c9df485d73a86 |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ab4893e481908632102d240466dc |
completed | March 1, 2026, 9:10 p.m. |
Created at: March 1, 2026, 7:38 p.m.