Triple

T5361262
Position Surface form Disambiguated ID Type / Status
Subject Emil Hácha E103025 entity
Predicate familyName P18 FINISHED
Object Hácha
Hácha is a Czech surname most notably borne by Emil Hácha, the third President of Czechoslovakia who served during the early years of World War II.
 E514609 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: Hácha | Statement: [Emil Hácha, familyName, Hácha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hácha
Context triple: [Emil Hácha, familyName, Hácha]
  • A. Krompachy
    Krompachy is a small industrial town in eastern Slovakia known historically for its ironworks and metalworking industry.
  • B. Chára
    Chára is a Slovak surname most prominently associated with Zdeno Chára, the towering NHL defenseman and Stanley Cup champion.
  • C. Haná
    Haná is a historical ethnographic region in central Moravia in the Czech Republic, known for its fertile agricultural land, distinctive folk traditions, and Hanakian dialect.
  • D. Havlíček
    Havlíček is a Czech surname most famously associated with basketball Hall of Famer John Havlicek and several notable Czech cultural and public figures.
  • E. Machová
    Machová is a Czech surname, typically the feminine form of the surname Mach.
  • 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: Hácha
Triple: [Emil Hácha, familyName, Hácha]
Generated description
Hácha is a Czech surname most notably borne by Emil Hácha, the third President of Czechoslovakia who served during the early years of World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hácha
Target entity description: Hácha is a Czech surname most notably borne by Emil Hácha, the third President of Czechoslovakia who served during the early years of World War II.
  • A. Krompachy
    Krompachy is a small industrial town in eastern Slovakia known historically for its ironworks and metalworking industry.
  • B. Chára
    Chára is a Slovak surname most prominently associated with Zdeno Chára, the towering NHL defenseman and Stanley Cup champion.
  • C. Haná
    Haná is a historical ethnographic region in central Moravia in the Czech Republic, known for its fertile agricultural land, distinctive folk traditions, and Hanakian dialect.
  • D. Havlíček
    Havlíček is a Czech surname most famously associated with basketball Hall of Famer John Havlicek and several notable Czech cultural and public figures.
  • E. Machová
    Machová is a Czech surname, typically the feminine form of the surname Mach.
  • 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_69bd43daa3e4819090b59d127db70e57 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd86588af081908c846fcde65724da completed March 20, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21ec83b88190abc227d93b4c1c49 completed March 21, 2026, 10:55 p.m.
NEDg Description generation batch_69bf25cac6d48190ab3155c667e19484 completed March 21, 2026, 11:12 p.m.
NED2 Entity disambiguation (via description) batch_69bf264cb0c08190a92e53441ac937a3 completed March 21, 2026, 11:14 p.m.
Created at: March 20, 2026, 2:02 p.m.