Triple

T11689110
Position Surface form Disambiguated ID Type / Status
Subject Sharon Kristin Harmon E277822 entity
Predicate givenName P17 FINISHED
Object Sharon E274400 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 Kristin Harmon, givenName, Sharon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sharon
Context triple: [Sharon Kristin Harmon, 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 chosen
    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
    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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a478f4c481908b2ba7b70972590d completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef14431f3c81908af9167c46f8c2bc completed April 27, 2026, 7:46 a.m.
Created at: April 8, 2026, 9:40 p.m.