Triple

T14678849
Position Surface form Disambiguated ID Type / Status
Subject Jellinek family E344720 entity
Predicate hasMember P10 FINISHED
Object Paula Jellinek E344720 NE FINISHED

How this triple was built (2 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: Paula Jellinek | Statement: [Jellinek family, hasMember, Paula Jellinek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paula Jellinek
Context triple: [Jellinek family, hasMember, Paula Jellinek]
  • A. Paula Jellinek chosen
    Paula Jellinek was a member of the Jellinek family, known for its close association with the early history of the Mercedes automobile brand.
  • B. Gisela Jellinek
    Gisela Jellinek was a member of the Jellinek family, known primarily as the sister of Mercedes Jellinek, whose name inspired the Mercedes automobile brand.
  • C. Johanna Jellinek
    Johanna Jellinek was a member of the Jellinek family, historically associated with the origins of the Mercedes automobile brand.
  • D. Hermine Jellinek
    Hermine Jellinek was a member of the Jellinek family, historically associated with the early development and naming of the Mercedes automobile brand.
  • E. Anna Jellinek
    Anna Jellinek was a member of the Jellinek family, historically associated with the early development and naming of the Mercedes automobile brand.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb567c2b88190a9639e61b6fba7df completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde17e5a1c8190b1bf5565eab9d519 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:27 a.m.