Triple
T2295368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marc-André Fleury |
E51599
|
entity |
| Predicate | WorldJuniorMedal |
P39034
|
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: [Marc-André Fleury, WorldJuniorMedal, silver medal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WorldJuniorMedal Context triple: [Marc-André Fleury, WorldJuniorMedal, silver medal]
-
A.
worldChampionshipBronzeMedals
Indicates the number of bronze medals an entity has earned at world championship competitions.
-
B.
worldChampionshipSilverMedals
Indicates that the subject has won one or more silver medals at a world championship competition.
-
C.
medalShape
Indicates the geometric form or outline that characterizes a particular medal.
-
D.
WorldChampionshipMedalsTotal
Indicates the total number of medals an entity has won at world championship competitions.
-
E.
bronzeMedalist
Indicates that an entity finished third in a competition or event, earning the bronze medal.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abcd0e42248190ada33b84d75caa64 |
completed | March 7, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_69abc589295c819092989820c2b4e9d8 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abcd0d01ac8190935fe904905cb233 |
completed | March 7, 2026, 7 a.m. |
Created at: March 4, 2026, 7:49 p.m.