Triple

T16975536
Position Surface form Disambiguated ID Type / Status
Subject Dan E411799 entity
Predicate isWardOf P85069 FINISHED
Object Friedrich Bhaer E1236672 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: Friedrich Bhaer | Statement: [Dan, isWardOf, Friedrich Bhaer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Friedrich Bhaer
Context triple: [Dan, isWardOf, Friedrich Bhaer]
  • A. Friedrich Bhaer chosen
    Friedrich Bhaer is a kind, scholarly German professor and later Jo March’s husband in Louisa May Alcott’s novel "Little Women" and its sequels.
  • B. Peter Pfaff
    Peter Pfaff is the son of Indian economist and politician Anita Bose Pfaff and the grandson of Indian nationalist leader Subhas Chandra Bose.
  • C. Conrad Pfaff
    Conrad Pfaff is an individual notable enough to be recognized as a distinguished bearer of the surname Pfaff.
  • D. Andreas Achenbach
    Andreas Achenbach was a prominent 19th-century German landscape painter associated with the Düsseldorf school, renowned for his dramatic seascapes and atmospheric natural scenes.
  • E. Rob Bhaer
    Rob Bhaer is the younger son of Jo March and Professor Friedrich Bhaer in Louisa May Alcott’s "Little Women" series.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d18300c8819080c8bf19962754ba completed April 18, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d4755ffc8190a5c861462e33d526 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:31 a.m.