Triple

T22283362
Position Surface form Disambiguated ID Type / Status
Subject Hermann Trophy E550795 entity
Predicate notableRecipient P108 FINISHED
Object Morgan Brian 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: Morgan Brian | Statement: [Hermann Trophy, notableRecipient, Morgan Brian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morgan Brian
Context triple: [Hermann Trophy, notableRecipient, Morgan Brian]
  • A. Morgan Brian chosen
    Morgan Brian is an American professional soccer midfielder and two-time FIFA Women's World Cup champion with the United States women's national team.
  • B. Morgan Alexander
    Morgan Alexander is a fictional character in the romantic sports film "Just Wright," which centers on basketball and personal relationships.
  • C. Morgan Giles
    Morgan Giles is a musician best known as a member of the punk/indie rock band The Underground Railroad to Candyland.
  • D. Morgan Earl
    Morgan Earl is known as the spouse of film and television director Rachel Talalay.
  • E. Brian Alexander Morgan
    Brian Alexander Morgan is an American R&B songwriter and record producer best known for his work with artists like SWV and Martha Wash in the 1990s.
  • 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_69e11e44d538819097c6b8f333af3352 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14eacd6cc8190812c6f672641050e completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.