Triple

T8198392
Position Surface form Disambiguated ID Type / Status
Subject Jane Elizabeth Ebsworth Oriel E191494 entity
Predicate givenName P17 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: [Jane Elizabeth Ebsworth Oriel, givenName, Jane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jane
Context triple: [Jane Elizabeth Ebsworth Oriel, givenName, 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 is a given name commonly used in English-speaking countries, often associated with literary, historical, and contemporary cultural figures.
  • E. Emily
    "Emily" is a 2022 British biographical drama film about the life of writer Emily Brontë, starring Fionn Whitehead alongside Emma Mackey.
  • 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_69ca82c6e9548190a4c5ca14516e4417 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb5df426cc81908b676d3d6852e29f completed March 31, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc69b9b8c819082a164433312166e completed April 2, 2026, 1:30 a.m.
Created at: March 30, 2026, 5:42 p.m.