Triple

T12534850
Position Surface form Disambiguated ID Type / Status
Subject Daniel Boone E299660 entity
Predicate familyName P18 FINISHED
Object Boone E165414 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: Boone | Statement: [Daniel Boone, familyName, Boone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boone
Context triple: [Daniel Boone, familyName, Boone]
  • A. Boone chosen
    Boone is a surname most prominently associated with American figures such as baseball player and manager Aaron Boone and frontiersman Daniel Boone.
  • B. Boone
    Boone is a small city in central Iowa known historically as a railroad hub and for its proximity to outdoor recreation areas like Ledges State Park.
  • C. Norborne
    Norborne is a given name historically borne by figures such as Norborne Berkeley, 4th Baron Botetourt, a colonial-era British noble and governor of Virginia.
  • D. Boone, North Carolina
    Boone, North Carolina is a small Appalachian college town in the Blue Ridge Mountains, known for Appalachian State University and its outdoor recreation and mountain culture.
  • E. Woodfin
    Woodfin is the surname of Randall Woodfin, an American politician and mayor of Birmingham, Alabama.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9546d3b2081908d3e0659f8f13678 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65577e3388190b6c1c2e8dee7f6ac completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:57 p.m.