Triple

T19797288
Position Surface form Disambiguated ID Type / Status
Subject Tharon Musser E475576 entity
Predicate familyName P18 FINISHED
Object Musser 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: Musser | Statement: [Tharon Musser, familyName, Musser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Musser
Context triple: [Tharon Musser, familyName, Musser]
  • A. Musser chosen
    Musser is the surname of Clair Omar Musser, an influential American marimba virtuoso, composer, and instrument designer.
  • B. Mosser
    Mosser is a small rural locality in the Allerdale district of Cumbria, England.
  • C. Maurer
    Maurer is a German-language surname common in Switzerland, Germany, and Austria, borne by various notable figures in politics, sports, and the arts.
  • D. Morriss
    Morriss is a variant spelling of the surname Morris, commonly used as a family name in English-speaking countries.
  • E. Sossick
    Sossick is a Nigerian music producer known for crafting influential hip-hop and Afrobeats tracks for prominent artists.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653c877288190b56ee7eedea710a3 completed April 20, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:49 p.m.