Triple

T7341485
Position Surface form Disambiguated ID Type / Status
Subject Mary “Bebe” Hunt Kemper E169259 entity
Predicate hasFamilyName P18 FINISHED
Object Kemper E535337 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: Kemper | Statement: [Mary “Bebe” Hunt Kemper, hasFamilyName, Kemper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kemper
Context triple: [Mary “Bebe” Hunt Kemper, hasFamilyName, Kemper]
  • A. Kemper chosen
    Kemper is a surname most prominently associated with the American banking and philanthropic family involved in finance, arts, and education.
  • B. Kempner
    Kempner is a surname most notably associated with Karen Kempner Zuckerberg, the mother of Facebook co-founder Mark Zuckerberg.
  • C. Kemper East
    Kemper East is a satellite branch of the Kemper Museum of Contemporary Art that hosts additional contemporary art exhibitions and programs.
  • D. Ebersole
    Ebersole is a surname most notably associated with American actress and singer Christine Ebersole.
  • E. Kashmore
    Kashmore is a town in Pakistan’s Sindh province that serves as a regional hub near the Guddu Barrage on the Indus River.
  • 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_69c68a57710481909f0c1f3c6ebdb6f2 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0da176081909a40552c6f22087c completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ef294f608190ae2ccd45a1ca213a completed March 28, 2026, 3:09 p.m.
Created at: March 27, 2026, 3:04 p.m.