Triple

T14128628
Position Surface form Disambiguated ID Type / Status
Subject Jellinek family E340099 entity
Predicate hasMember P10 FINISHED
Object Blanka Jellinek E340099 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: Blanka Jellinek | Statement: [Jellinek family, hasMember, Blanka Jellinek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blanka Jellinek
Context triple: [Jellinek family, hasMember, Blanka Jellinek]
  • A. Blanka Jellinek chosen
    Blanka Jellinek was a member of the Jellinek family, historically associated with the early development and naming of the Mercedes automobile brand.
  • B. Hermine Jellinek
    Hermine Jellinek was a member of the Jellinek family, historically associated with the early development and naming of 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. Anna Jellinek
    Anna Jellinek was a member of the Jellinek family, historically associated with the early development and naming of the Mercedes automobile brand.
  • E. Rosa Jellinek
    Rosa Jellinek was a member of the Jellinek family, known primarily in connection with her sister Mercédès Jellinek, the namesake 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6098013c8190b1bac9d3fff60acd completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7e2b0248190ba40aa8395355052 completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 10:23 p.m.