Triple

T15481081
Position Surface form Disambiguated ID Type / Status
Subject Sharon, Mississippi E376917 entity
Predicate hasName P744 FINISHED
Object Sharon
Sharon is a small unincorporated community located in the state of Mississippi in the United States.
E1159504 NE FINISHED

How this triple was built (4 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, Mississippi, hasName, Sharon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sharon
Context triple: [Sharon, Mississippi, hasName, 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
    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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sharon
Triple: [Sharon, Mississippi, hasName, Sharon]
Generated description
Sharon is a small unincorporated community located in the state of Mississippi in the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sharon
Target entity description: Sharon is a small unincorporated community located in the state of Mississippi in the United States.
  • A. Sharon
    Sharon is a small community within the town of East Gwillimbury in Ontario, Canada, known for its residential character and local heritage.
  • B. Sharon
    Sharon is a suburban town in Norfolk County, Massachusetts, known for its residential character, natural conservation areas, and proximity to Boston.
  • C. Sharon
    Sharon is a feminine given name of Hebrew origin meaning "a fertile plain," used in various cultures and languages.
  • D. 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.
  • E. 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.
  • F. None of above. chosen

Provenance (5 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8cb4388190a3b4c92c3bb4ad4f completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d0d6ef0819091623de2888a7101 completed May 9, 2026, 12:48 p.m.
NEDg Description generation batch_69ff302422488190aa70a6d6e07feea6 completed May 9, 2026, 1:01 p.m.
NED2 Entity disambiguation (via description) batch_69ff313c2a208190b25a3cebf2d742f5 completed May 9, 2026, 1:06 p.m.
Created at: April 10, 2026, 3:34 a.m.