Triple

T10466631
Position Surface form Disambiguated ID Type / Status
Subject Benefactors E246812 entity
Predicate hasCharacter P2308 FINISHED
Object Jane E47230 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: Jane | Statement: [Benefactors, hasCharacter, Jane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jane
Context triple: [Benefactors, hasCharacter, Jane]
  • A. Jane
    Jane is a powerful vampire in the Twilight series, known for her childlike appearance and her ability to inflict excruciating pain with her mind as a high-ranking enforcer of the Volturi.
  • B. Jane
    Jane was a British sealing and exploration vessel commanded by James Weddell during his early 19th-century Antarctic voyages.
  • C. Jane chosen
    Jane is a feminine given name of English origin that has been widely used in many English-speaking countries for centuries.
  • D. Emily
    Emily Warren Roebling was a pioneering 19th-century American engineer best known for her crucial role in overseeing the completion of the Brooklyn Bridge.
  • E. Emily
    Emily is the NATO reporting name for the Kawanishi H8K, a World War II-era Japanese four-engine flying boat used primarily for long-range maritime patrol and reconnaissance.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092d6d408190b6bda4d7ced4601e completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc5c26a88190aab4a590c20191a3 completed April 10, 2026, 11:17 a.m.
Created at: April 6, 2026, 12:19 p.m.