Triple
T13122453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Šebrle |
E311757
|
entity |
| Predicate | olympicSilverMedalistIn |
P88111
|
FINISHED |
| Object | decathlon |
—
|
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: decathlon | Statement: [Roman Šebrle, olympicSilverMedalistIn, decathlon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: olympicSilverMedalistIn Context triple: [Roman Šebrle, olympicSilverMedalistIn, decathlon]
-
A.
olympicSilverMedals
Indicates that the subject has won one or more silver medals at the Olympic Games.
-
B.
OlympicSilverInEvent
chosen
Indicates that an entity won a silver medal in a specified Olympic event.
-
C.
OlympicGoldMedalistFor
Indicates that an entity has won a gold medal at the Olympic Games while representing a specified country, team, or organization.
-
D.
silverMedalist
Indicates that an entity finished in second place in a competition or event, earning the silver medal.
-
E.
OlympicSilverMedalYear
Indicates the year in which an entity received a silver medal at the Olympic Games.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9819840b881909b76022b4c4dcaed |
completed | April 10, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69d98043a74c81908648e6cd0b4c7f71 |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:07 p.m.