Triple

T13442888
Position Surface form Disambiguated ID Type / Status
Subject Mercédès Jellinek E320408 entity
Predicate familyName P18 FINISHED
Object Jellinek
Jellinek is a surname most famously associated with Mercédès Jellinek, the namesake of 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: [Mercédès Jellinek, familyName, Jellinek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jellinek
Context triple: [Mercédès Jellinek, familyName, Jellinek]
  • A. Lilienfeld
    Lilienfeld is a German-language surname most notably associated with physicist Julius Edgar Lilienfeld, an early pioneer of field-effect transistor concepts.
  • B. 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.
  • C. Frauenthal
    Frauenthal is a historic theater and cultural landmark in Muskegon, Michigan, known for hosting a wide range of performing arts events.
  • D. Feigl
    Feigl is a German-language surname borne by various notable individuals, including philosophers, scientists, and artists.
  • E. Meyer-Lübke
    Meyer-Lübke is the surname of Wilhelm Meyer-Lübke, a prominent Swiss linguist known for his influential work in Romance philology.
  • 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: [Mercédès Jellinek, familyName, Jellinek]
Generated description
Jellinek is a surname most famously associated with Mercédès Jellinek, the namesake of 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 famously associated with Mercédès Jellinek, the namesake of the Mercedes automobile brand.
  • A. Jellinek chosen
    Jellinek is a surname most notably associated with Mercedes Jellinek, the namesake and inspiration for the Mercedes automobile brand.
  • B. Blanka Jellinek
    Blanka Jellinek was a member of the Jellinek family, historically associated with the early development and naming of the Mercedes automobile brand.
  • C. Helene Jellinek
    Helene Jellinek was a member of the Jellinek family associated with the early history of the Mercedes automobile brand.
  • D. Johanna Jellinek
    Johanna Jellinek was a member of the Jellinek family, historically associated with the origins of the Mercedes automobile brand.
  • E. Mira Jellinek
    Mira Jellinek was a member of the Jellinek family associated with the early history of the Mercedes automobile brand, known primarily as the sister of Mercedes Jellinek.
  • F. None of above.

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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaee881888190811ddf01bc699864 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f739965ef081909e85881ce805bbb5 completed May 3, 2026, 12:03 p.m.
NEDg Description generation batch_69f740e536d48190af369b38aa42438d completed May 3, 2026, 12:34 p.m.
NED2 Entity disambiguation (via description) batch_69f741b72d08819087808bf9bcffa0a1 completed May 3, 2026, 12:38 p.m.
Created at: April 9, 2026, 9:40 p.m.