Triple

T9397868
Position Surface form Disambiguated ID Type / Status
Subject Carl Flesch E226391 entity
Predicate familyName P18 FINISHED
Object Flesch
Flesch is a surname most notably associated with Carl Flesch, the influential Hungarian violinist and pedagogue.
E796916 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: Flesch | Statement: [Carl Flesch, familyName, Flesch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flesch
Context triple: [Carl Flesch, familyName, Flesch]
  • A. Fowler
    Fowler is a surname of English origin borne by numerous notable individuals across fields such as engineering, politics, sports, and the arts.
  • B. FLE
    FLE is the ICAO airline designator assigned to Flair Airlines, a Canadian ultra-low-cost carrier.
  • C. Fus’ha
    Fus’ha is the standardized, formal variety of Arabic used in writing, education, media, and official communication across the Arab world.
  • D. FRLEH
    FRLEH is the international port code identifying the major French seaport of Le Havre on the English Channel.
  • E. Fiedler
    Fiedler is a sharp, idealistic East German intelligence officer in John le Carré’s Cold War spy novel "The Spy Who Came in from the Cold."
  • 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: Flesch
Triple: [Carl Flesch, familyName, Flesch]
Generated description
Flesch is a surname most notably associated with Carl Flesch, the influential Hungarian violinist and pedagogue.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Flesch
Target entity description: Flesch is a surname most notably associated with Carl Flesch, the influential Hungarian violinist and pedagogue.
  • A. Fowler
    Fowler is a surname of English origin borne by numerous notable individuals across fields such as engineering, politics, sports, and the arts.
  • B. FLE
    FLE is the ICAO airline designator assigned to Flair Airlines, a Canadian ultra-low-cost carrier.
  • C. Fus’ha
    Fus’ha is the standardized, formal variety of Arabic used in writing, education, media, and official communication across the Arab world.
  • D. FRLEH
    FRLEH is the international port code identifying the major French seaport of Le Havre on the English Channel.
  • E. Fiedler
    Fiedler is a sharp, idealistic East German intelligence officer in John le Carré’s Cold War spy novel "The Spy Who Came in from the Cold."
  • 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_69ca843170f88190800a8ab2b5fc568e completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51541020819097da2eb60be73760 completed April 1, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1011aef64819085cbb7e04c2d87b2 completed April 4, 2026, 12:16 p.m.
NEDg Description generation batch_69d1054d18ec8190b88dc95f785a370a completed April 4, 2026, 12:34 p.m.
NED2 Entity disambiguation (via description) batch_69d105b7570481909f90b7588e210667 completed April 4, 2026, 12:36 p.m.
Created at: March 30, 2026, 7:46 p.m.