Triple

T11397725
Position Surface form Disambiguated ID Type / Status
Subject Duru languages E270021 entity
Predicate areClassifiedBy P25488 FINISHED
Object Lionel M. Bender E364576 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: Lionel M. Bender | Statement: [Duru languages, areClassifiedBy, Lionel M. Bender]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lionel M. Bender
Context triple: [Duru languages, areClassifiedBy, Lionel M. Bender]
  • A. Lionel M. Bender chosen
    Lionel M. Bender was an American linguist known for his extensive work on African languages, particularly within the Nilo-Saharan and Afroasiatic families.
  • B. George A. Bermann
    George A. Bermann is a prominent American legal scholar and expert in international and comparative law, particularly known for his work in international arbitration.
  • C. Lester D. Friedman
    Lester D. Friedman is a film and media scholar best known for his work on American cinema, Jewish representation in film, and the cultural history of movies.
  • D. Louis F. Edelman
    Louis F. Edelman was an American film and television producer active in the mid-20th century, known for his work on notable crime and drama productions.
  • E. Frank E. Seidman
    Frank E. Seidman was an influential figure in the field of political economy, honored by a distinguished award that bears his name.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d80019d3d48190a2f473deb6eae33a completed April 9, 2026, 7:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a003c405ecc81909722377a22db84a5 completed May 10, 2026, 8:05 a.m.
Created at: April 8, 2026, 9:34 p.m.