Triple

T17135613
Position Surface form Disambiguated ID Type / Status
Subject Lány E415827 entity
Predicate significantPerson P643 FINISHED
Object Petr Pavel E394246 NE 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: Petr Pavel | Statement: [Lány, significantPerson, Petr Pavel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petr Pavel
Context triple: [Lány, significantPerson, Petr Pavel]
  • A. Petr Pavel chosen
    Petr Pavel is a Czech politician and retired army general who serves as the President of the Czech Republic.
  • B. Pavel Baudiš
    Pavel Baudiš is a Czech software engineer and entrepreneur best known as a co-founder of the cybersecurity company Avast.
  • C. Bohuslav Sobotka
    Bohuslav Sobotka is a Czech politician who served as Prime Minister of the Czech Republic and a leading figure in the Czech Social Democratic Party.
  • D. Josef Koucký
    Josef Koucký was a Czech firearms designer best known for co-creating the influential CZ 75 semi-automatic pistol.
  • E. Radek Duda
    Radek Duda is a Czech professional ice hockey player known for his long career as a forward in the Czech Extraliga and various European leagues.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f02dca8881908efd73741397a207 completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fc263508190aeeb0ea9553cebdb completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:36 a.m.