Triple

T3037245
Position Surface form Disambiguated ID Type / Status
Subject Mercedes Jellinek E83040 entity
Predicate familyName P18 FINISHED
Object Jellinek
Jellinek is a surname most notably associated with Mercedes Jellinek, the namesake and inspiration for the Mercedes automobile brand.
 E320409 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: Jellinek | Statement: [Mercedes Jellinek, familyName, Jellinek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jellinek
Context triple: [Mercedes Jellinek, familyName, Jellinek]
  • A. Mayr
    Mayr is a German surname most notably associated with Ernst Mayr, a pioneering evolutionary biologist and key architect of the modern synthesis in evolutionary theory.
  • B. Feigl
    Feigl is a German-language surname borne by various notable individuals, including philosophers, scientists, and artists.
  • C. Ussishkin
    Ussishkin is a Jewish family name most prominently associated with Zionist leader Menachem Ussishkin.
  • D. Sigmund
    Sigmund is the given name of Sigmund Freud, the pioneering Austrian neurologist and founder of psychoanalysis.
  • E. Eugen
    Eugen is the given first name of the influential German playwright and poet Bertolt Brecht.
  • 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: Jellinek
Triple: [Mercedes Jellinek, familyName, Jellinek]
Generated description
Jellinek is a surname most notably associated with Mercedes Jellinek, the namesake and inspiration for the Mercedes automobile brand.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jellinek
Target entity description: Jellinek is a surname most notably associated with Mercedes Jellinek, the namesake and inspiration for the Mercedes automobile brand.
  • A. Mayr
    Mayr is a German surname most notably associated with Ernst Mayr, a pioneering evolutionary biologist and key architect of the modern synthesis in evolutionary theory.
  • B. Feigl
    Feigl is a German-language surname borne by various notable individuals, including philosophers, scientists, and artists.
  • C. Ussishkin
    Ussishkin is a Jewish family name most prominently associated with Zionist leader Menachem Ussishkin.
  • D. Sigmund
    Sigmund is the given name of Sigmund Freud, the pioneering Austrian neurologist and founder of psychoanalysis.
  • E. Eugen
    Eugen is a masculine given name of Greek origin, commonly used in various European languages and derived from a word meaning "well-born" or "noble."
  • 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_69ad8b2298908190a7cb4e9bdbf064d0 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9b2cd4988190b52fe3616ecbe9ef completed March 8, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1dec8778c8190a5e06a29a0218404 completed March 11, 2026, 9:29 p.m.
NEDg Description generation batch_69b1e2c4aaa88190bb5e39c51d0583f0 completed March 11, 2026, 9:46 p.m.
NED2 Entity disambiguation (via description) batch_69b1e3228f488190b13c948c6c5d13d0 completed March 11, 2026, 9:48 p.m.
Created at: March 8, 2026, 3:01 p.m.