Triple
T19955446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Czech Olympic team |
E479668
|
entity |
| Predicate | notableAthlete |
P10392
|
FINISHED |
| Object | Roman Šebrle |
—
|
NE NERFINISHED |
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: Roman Šebrle | Statement: [Czech Olympic team, notableAthlete, Roman Šebrle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roman Šebrle Context triple: [Czech Olympic team, notableAthlete, Roman Šebrle]
-
A.
Roman Šebrle
chosen
Roman Šebrle is a Czech former decathlete who became the first man to surpass 9,000 points in the decathlon and was one of the event’s dominant figures in the early 2000s.
-
B.
Emil Zátopek
Emil Zátopek was a legendary Czech long-distance runner renowned for his multiple Olympic gold medals and pioneering, brutally intense training methods.
-
C.
Jan Železný
Jan Železný is a legendary Czech javelin thrower, widely regarded as one of the greatest in history and the long-standing world record holder in the event.
-
D.
Milko Skofic
Milko Skofic was a Yugoslav-born physician and film producer best known as the former husband and manager of Italian actress Gina Lollobrigida.
-
E.
Milan Belica
Milan Belica is a personal name that may refer to one of several individuals, such as professionals or public figures, rather than a single widely recognized person.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65aefd9488190b8cdfa8543db8d31 |
completed | April 20, 2026, 4:57 p.m. |
Created at: April 10, 2026, 1:54 p.m.