Triple

T2894170
Position Surface form Disambiguated ID Type / Status
Subject Adam Bede E63897 entity
Predicate hasCharacter P2308 FINISHED
Object Lisbeth Bede E214703 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: Lisbeth Bede | Statement: [Adam Bede, hasCharacter, Lisbeth Bede]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisbeth Bede
Context triple: [Adam Bede, hasCharacter, Lisbeth Bede]
  • A. Lisbeth chosen
    Lisbeth is a feminine given name, typically used as a shortened or variant form of Elizabeth.
  • B. Oscar Wisting
    Oscar Wisting was a Norwegian polar explorer and close associate of Roald Amundsen, known for his key roles in pioneering expeditions to both the Arctic and Antarctic.
  • C. Kate Warne
    Kate Warne was the first female detective in the United States, renowned for her pioneering investigative work with the Pinkerton National Detective Agency and her role in foiling an assassination plot against Abraham Lincoln.
  • D. Karla
    Karla is the elusive Soviet spymaster and primary antagonist of John le Carré’s George Smiley novels, symbolizing the Cold War espionage rivalry between British intelligence and the KGB.
  • E. Della Street
    Della Street is the loyal and highly capable secretary and confidante of fictional defense attorney Perry Mason in Erle Stanley Gardner’s novels and their adaptations.
  • 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_69ab4c45822c8190830c5f2bb97bcfd0 completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe063de6c8190bce9ddefd1dd62e1 completed March 7, 2026, 8:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69b031814764819096a1664b468ec817 completed March 10, 2026, 2:58 p.m.
Created at: March 6, 2026, 10:07 p.m.