Triple

T14115791
Position Surface form Disambiguated ID Type / Status
Subject Catherine Branson E339770 entity
Predicate familyName P18 FINISHED
Object Branson E46926 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: Branson | Statement: [Catherine Branson, familyName, Branson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Branson
Context triple: [Catherine Branson, familyName, Branson]
  • A. Branson chosen
    Branson is the surname of British entrepreneur and Virgin Group founder Richard Branson.
  • B. Branson, Missouri
    Branson, Missouri is a popular tourist city in the Ozark Mountains known for its live entertainment theaters, family attractions, and outdoor recreation.
  • C. Branson West, Missouri
    Branson West, Missouri is a small city in Stone County in the southwestern Ozarks region, serving as a gateway community near the tourist destination of Branson.
  • D. Fort Morgan
    Fort Morgan is a historic 19th-century masonry fort on Mobile Bay in Alabama, best known for its role in the American Civil War, particularly the Battle of Mobile Bay.
  • E. Sedalia
    Sedalia is a small town in Guilford County, North Carolina, known for its historic African American educational institution, the Palmer Memorial Institute.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6010a03c81909f5f160f8d1fa8fa completed April 14, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0baa328819099511dfa7b9666d3 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:22 p.m.