Triple

T21814875
Position Surface form Disambiguated ID Type / Status
Subject Joseph King Fenno Mansfield Goodrich E538578 entity
Predicate givenName P17 FINISHED
Object Mansfield 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: Mansfield | Statement: [Joseph King Fenno Mansfield Goodrich, givenName, Mansfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mansfield
Context triple: [Joseph King Fenno Mansfield Goodrich, givenName, Mansfield]
  • A. Mansfield
    Mansfield is a small borough in northern Pennsylvania known for its rural setting and the presence of Mansfield University of Pennsylvania.
  • B. Mansfield
    Mansfield is a large market town in Nottinghamshire, England, known historically for its coal mining industry and proximity to Sherwood Forest.
  • C. Mansfield
    Mansfield is a suburban city in the Dallas–Fort Worth metropolitan area of North Texas, known for its residential communities, schools, and family-oriented amenities.
  • D. Mansfield chosen
    Mansfield is a surname of English origin borne by various notable individuals across politics, arts, and other fields.
  • E. Mansfield
    Mansfield is a rural town in northeastern Victoria, Australia, known as a gateway to the Victorian High Country and nearby alpine resorts.
  • 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_69e0c473f0f8819086c9d1b4a143bd67 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f07cc99bbc8190bf074930f361af7d completed April 28, 2026, 9:24 a.m.
Created at: April 16, 2026, 6:54 p.m.