Triple

T13868895
Position Surface form Disambiguated ID Type / Status
Subject Sharon Van Etten E333399 entity
Predicate givenName P17 FINISHED
Object Sharon E293269 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: Sharon | Statement: [Sharon Van Etten, givenName, Sharon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sharon
Context triple: [Sharon Van Etten, givenName, Sharon]
  • A. Sharon
    Sharon is a suburban town in Norfolk County, Massachusetts, known for its residential character, natural conservation areas, and proximity to Boston.
  • B. Sharon
    Sharon is the given first name of Christa McAuliffe, the American teacher and astronaut who was selected as the first private citizen in space and died in the 1986 Space Shuttle Challenger disaster.
  • C. Sharon
    Sharon is the given first name of Kristin Harmon, an American actress and painter known for her work in television and her marriage to musician Ricky Nelson.
  • D. Sharon chosen
    Sharon is a feminine given name of Hebrew origin meaning "a fertile plain," used in various cultures and languages.
  • E. Sharon
    Sharon is a fictional character from Frederick Buechner’s comic novel sequence *The Book of Bebb*, which follows the eccentric evangelist Leo Bebb and those in his orbit.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c530148190b11704300bbd5f9b completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c105da548190b908a54fec029236 completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.