Triple

T6044444
Position Surface form Disambiguated ID Type / Status
Subject Carlos Kleiber E134630 entity
Predicate familyName P18 FINISHED
Object Kleiber
Kleiber is a German surname most famously associated with Carlos Kleiber, one of the 20th century’s most acclaimed orchestral conductors.
 E564309 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: Kleiber | Statement: [Carlos Kleiber, familyName, Kleiber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kleiber
Context triple: [Carlos Kleiber, familyName, Kleiber]
  • A. Nattier
    Nattier is a French surname most famously associated with Jean-Marc Nattier, an 18th-century painter known for his portraits of the ladies of Louis XV’s court.
  • B. Poulus
    Poulus is a personal name variant derived from the given name Poul.
  • C. Kaul
    Kaul is a Kashmiri Pandit surname historically associated with prominent Indian families, including that of Kamala Nehru.
  • D. Seba
    Seba is a common short form or nickname for the given name Sebastián, frequently used in Spanish-speaking countries.
  • E. Pongo
    Pongo is the intelligent and devoted Dalmatian dog who serves as the central canine protagonist in Disney’s "One Hundred and One Dalmatians."
  • 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: Kleiber
Triple: [Carlos Kleiber, familyName, Kleiber]
Generated description
Kleiber is a German surname most famously associated with Carlos Kleiber, one of the 20th century’s most acclaimed orchestral conductors.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kleiber
Target entity description: Kleiber is a German surname most famously associated with Carlos Kleiber, one of the 20th century’s most acclaimed orchestral conductors.
  • A. Nattier
    Nattier is a French surname most famously associated with Jean-Marc Nattier, an 18th-century painter known for his portraits of the ladies of Louis XV’s court.
  • B. Poulus
    Poulus is a personal name variant derived from the given name Poul.
  • C. Kaul
    Kaul is a Kashmiri Pandit surname historically associated with prominent Indian families, including that of Kamala Nehru.
  • D. Seba
    Seba is a common short form or nickname for the given name Sebastián, frequently used in Spanish-speaking countries.
  • E. Pongo
    Pongo is the intelligent and devoted Dalmatian dog who serves as the central canine protagonist in Disney’s "One Hundred and One Dalmatians."
  • 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_69c00876a69881908088a2626d3b2666 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056e2b1148190908c4dc43abee266 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1139f53d881908f2aa8211fc7539f completed March 23, 2026, 10:19 a.m.
NEDg Description generation batch_69c1153b6ce8819090a13d349ccd2d6c completed March 23, 2026, 10:26 a.m.
NED2 Entity disambiguation (via description) batch_69c115acfe748190b91c88df81c2e1c2 completed March 23, 2026, 10:27 a.m.
Created at: March 22, 2026, 4:09 p.m.