Triple
T20666751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petr Pekar |
E507910
|
entity |
| Predicate | nameInLatinAlphabet |
P22444
|
FINISHED |
| Object | Petr Pekar |
—
|
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: Petr Pekar | Statement: [Petr Pekar, nameInLatinAlphabet, Petr Pekar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Petr Pekar Context triple: [Petr Pekar, nameInLatinAlphabet, Petr Pekar]
-
A.
Petr Pekar
chosen
Petr Pekar is a person notable enough to be recognized as a bearer of the surname Pekar.
-
B.
Pavol Pekár
Pavol Pekár is a Slovak footballer known for playing as a midfielder in the Slovak leagues.
-
C.
Pavel Svoboda
Pavel Svoboda is a Czech politician and lawyer who has served as a Member of the European Parliament and chaired its Committee on Legal Affairs.
-
D.
Petr Sýkora
Petr Sýkora is a Czech former professional ice hockey forward best known for his long NHL career, including Stanley Cup wins with the New Jersey Devils and Pittsburgh Penguins.
-
E.
Pavel Kubiš
Pavel Kubiš is a Czech professional ice hockey forward known for his long-time tenure with PSG Zlín in the Czech Extraliga.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5c39dd48190965d65537592aef6 |
completed | April 20, 2026, 11:24 p.m. |
Created at: April 16, 2026, 11:44 a.m.