Triple

T22064999
Position Surface form Disambiguated ID Type / Status
Subject Royal Rooters E545245 entity
Predicate associatedPerson P2308 FINISHED
Object Michael T. McGreevy 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: Michael T. McGreevy | Statement: [Royal Rooters, associatedPerson, Michael T. McGreevy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael T. McGreevy
Context triple: [Royal Rooters, associatedPerson, Michael T. McGreevy]
  • A. Michael T. McGreevy chosen
    Michael T. McGreevy was a prominent early 20th-century Boston sports enthusiast and saloon owner best known for his central role in fostering the culture and fandom surrounding the Boston Red Sox.
  • B. Michael D. McDonough
    Michael D. McDonough is an American local government official who serves as the mayor of Raytown, Missouri.
  • C. Brian M. Leahy
    Brian M. Leahy is a philosopher known for his work in logic, language, and the philosophy of mind.
  • D. Timothy J. Geraghty
    Timothy J. Geraghty is a retired U.S. Marine Corps general best known for commanding American forces during the Multinational Force in Lebanon deployment in the early 1980s.
  • E. Michael D. O'Shea
    Michael D. O'Shea is a cinematographer best known for his work on the comedy film "Robin Hood: Men in Tights."
  • 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_69e11e344dfc81909b1d88a7221329c7 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12882ab3c819095b61e0a341edfdf completed April 28, 2026, 9:37 p.m.
Created at: April 16, 2026, 8:27 p.m.