Triple

T259289
Position Surface form Disambiguated ID Type / Status
Subject Eleanor E5505 entity
Predicate hasVariant P455 FINISHED
Object Elinor E20957 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: Elinor | Statement: [Eleanor, hasVariant, Elinor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elinor
Context triple: [Eleanor, hasVariant, Elinor]
  • A. Elinor Dashwood chosen
    Elinor Dashwood is the sensible, composed eldest Dashwood sister in Jane Austen’s novel "Sense and Sensibility," known for her restraint, practicality, and quiet emotional strength.
  • B. Dorothea
    Dorothea is the middle name of Angela Merkel, the long-serving former chancellor of Germany.
  • C. Elizabeth Erving
    Elizabeth Erving was the wife of American statesman and Massachusetts governor James Bowdoin, connecting her to a prominent colonial New England political family.
  • D. Sophia Julian
    Sophia Julian was the wife of prominent American labor leader Samuel Gompers and a supportive figure in his personal and family life.
  • E. Margaret
    Margaret is a feminine given name of Greek origin, traditionally associated with the meaning "pearl" and widely used in English-speaking countries.
  • 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_69a2580a64ac8190ad76e34bb0715b5e completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25d71a10c8190894c86e7a67c5974 completed Feb. 28, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3837622cc819096df20695413b5c0 completed March 1, 2026, 12:08 a.m.
Created at: Feb. 28, 2026, 2:55 a.m.