Triple

T18514521
Position Surface form Disambiguated ID Type / Status
Subject Karel Ančerl E452424 entity
Predicate familyName P18 FINISHED
Object Ančerl
Ančerl is the surname of Karel Ančerl, a renowned Czech conductor noted for his interpretations of 20th-century music and leadership of the Czech Philharmonic.
 E1328807 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: Ančerl | Statement: [Karel Ančerl, familyName, Ančerl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ančerl
Context triple: [Karel Ančerl, familyName, Ančerl]
  • A. Rendulic
    Rendulic is a German-language surname most notably associated with Lothar Rendulic, an Austrian-born German army general during World War II.
  • B. Chudomir
    Chudomir was a renowned Bulgarian writer, humorist, and painter known for his satirical short stories and vivid depictions of rural life.
  • C. Pechanec
    Pechanec is a Czech surname most notably borne by Nicole Pechanec, a former elite gymnast and sports television producer.
  • D. Aleksinac
    Aleksinac is a town in southern Serbia known historically for its mining industry and its strategic location along major transport routes between Niš and Belgrade.
  • E. Arapov
    Arapov is a Slavic masculine surname commonly found in Russian-speaking countries.
  • 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: Ančerl
Triple: [Karel Ančerl, familyName, Ančerl]
Generated description
Ančerl is the surname of Karel Ančerl, a renowned Czech conductor noted for his interpretations of 20th-century music and leadership of the Czech Philharmonic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ančerl
Target entity description: Ančerl is the surname of Karel Ančerl, a renowned Czech conductor noted for his interpretations of 20th-century music and leadership of the Czech Philharmonic.
  • A. Rendulic
    Rendulic is a German-language surname most notably associated with Lothar Rendulic, an Austrian-born German army general during World War II.
  • B. Chudomir
    Chudomir was a renowned Bulgarian writer, humorist, and painter known for his satirical short stories and vivid depictions of rural life.
  • C. Pechanec
    Pechanec is a Czech surname most notably borne by Nicole Pechanec, a former elite gymnast and sports television producer.
  • D. Aleksinac
    Aleksinac is a town in southern Serbia known historically for its mining industry and its strategic location along major transport routes between Niš and Belgrade.
  • E. Arapov
    Arapov is a Slavic masculine surname commonly found in Russian-speaking countries.
  • 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53349415c8190b989b536e2d1c40a completed April 19, 2026, 7:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a04916c1cb88190889ad7d1c1dc4279 completed May 13, 2026, 2:57 p.m.
NEDg Description generation batch_6a04921b1a508190b8bb6d6c4597ab99 completed May 13, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_6a0492ba4ea08190b59510b221ad5d21 completed May 13, 2026, 3:03 p.m.
Created at: April 10, 2026, 11:36 a.m.