Triple

T18493660
Position Surface form Disambiguated ID Type / Status
Subject Crayon Angels E451882 entity
Predicate writer P1360 FINISHED
Object Judee Sill NE NERFINISHED

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: Judee Sill | Statement: [Crayon Angels, writer, Judee Sill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Judee Sill
Context triple: [Crayon Angels, writer, Judee Sill]
  • A. Judee Sill chosen
    Judee Sill was an American singer-songwriter of the early 1970s known for her intricate, spiritually themed folk-pop compositions and her status as one of the first artists on David Geffen’s Asylum Records label.
  • B. Carla Haden
    Carla Hayden is an American librarian and library administrator who became the first woman and first African American to serve as the Librarian of Congress.
  • C. Susan Crow
    Susan Crow is an American former teacher and philanthropist best known as the third wife and longtime partner of legendary singer Tony Bennett.
  • D. Joan Carlile
    Joan Carlile was a pioneering 17th-century English portrait painter, often regarded as one of the first professional female artists in Britain.
  • E. Janis Siegel
    Janis Siegel is an American jazz and pop vocalist best known as a longtime member of the Grammy-winning vocal group The Manhattan Transfer.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e532bf206c8190a146cd1abd752152 completed April 19, 2026, 7:53 p.m.
Created at: April 10, 2026, 11:35 a.m.