Triple

T8827120
Position Surface form Disambiguated ID Type / Status
Subject Jaromír E210042 entity
Predicate hasFeminineForm P1613 FINISHED
Object Jaromíra
Jaromíra is a feminine given name of Slavic origin, used primarily in Czech and Slovak cultures.
E764035 NE FINISHED

How this triple was built (4 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: Jaromíra | Statement: [Jaromír, hasFeminineForm, Jaromíra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jaromíra
Context triple: [Jaromír, hasFeminineForm, Jaromíra]
  • A. Jaromír
    Jaromír is a masculine given name of Slavic origin, most famously borne by Czech ice hockey legend Jaromír Jágr.
  • B. Zdeno
    Zdeno is a Slovak given name most notably borne by former NHL defenseman Zdeno Chára.
  • C. Ivan Hlinka
    Ivan Hlinka was a legendary Czech ice hockey player and coach, renowned as one of Europe’s greatest forwards and a key figure in Czechoslovakia’s international hockey success.
  • D. Ondrej
    Ondrej is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe as a variant of Andrew.
  • E. Filip Hronek
    Filip Hronek is a Czech professional ice hockey defenceman known for his offensive skills from the blue line and play in top European and NHL competition.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jaromíra
Triple: [Jaromír, hasFeminineForm, Jaromíra]
Generated description
Jaromíra is a feminine given name of Slavic origin, used primarily in Czech and Slovak cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jaromíra
Target entity description: Jaromíra is a feminine given name of Slavic origin, used primarily in Czech and Slovak cultures.
  • A. Jaromír
    Jaromír is a masculine given name of Slavic origin, most famously borne by Czech ice hockey legend Jaromír Jágr.
  • B. Zdeno
    Zdeno is a Slovak given name most notably borne by former NHL defenseman Zdeno Chára.
  • C. Ivan Hlinka
    Ivan Hlinka was a legendary Czech ice hockey player and coach, renowned as one of Europe’s greatest forwards and a key figure in Czechoslovakia’s international hockey success.
  • D. Ondrej
    Ondrej is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe as a variant of Andrew.
  • E. Filip Hronek
    Filip Hronek is a Czech professional ice hockey defenceman known for his offensive skills from the blue line and play in top European and NHL competition.
  • F. None of above. chosen

Provenance (5 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_69ca8365b28081909e48e45e95dfc405 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc6034e8dc819099116d772e87569a completed April 1, 2026, midnight
NED1 Entity disambiguation (via context triple) batch_69cfab71962c8190823a1ca1d4fa56f3 completed April 3, 2026, 11:58 a.m.
NEDg Description generation batch_69cfac76d0f8819090c2bff520db52f4 completed April 3, 2026, 12:03 p.m.
NED2 Entity disambiguation (via description) batch_69cfad04e514819084bf30b8f026c031 completed April 3, 2026, 12:05 p.m.
Created at: March 30, 2026, 6:46 p.m.