Triple

T16293515
Position Surface form Disambiguated ID Type / Status
Subject City-County Building E395585 entity
Predicate namedAfter P63 FINISHED
Object Coleman A. Young E405421 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: Coleman A. Young | Statement: [City-County Building, namedAfter, Coleman A. Young]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coleman A. Young
Context triple: [City-County Building, namedAfter, Coleman A. Young]
  • A. Coleman A. Young chosen
    Coleman A. Young was a pioneering African American politician who served as the long-time mayor of Detroit, Michigan, from 1974 to 1994.
  • B. Howard Cunningham
    Howard Cunningham is the affable, old-fashioned Milwaukee hardware store owner and father figure on the classic American sitcom "Happy Days."
  • C. Tom Bradley
    Tom Bradley was a long-serving and influential mayor of Los Angeles who played a key role in the city’s late-20th-century growth and international prominence.
  • D. Kwame Kilpatrick
    Kwame Kilpatrick is a former mayor of Detroit who became widely known for his corruption scandal, criminal convictions, and subsequent imprisonment.
  • E. Lamont Johnson
    Lamont Johnson was an American film and television director and actor known for his acclaimed work on socially conscious TV movies and dramas.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e2aee6881909fd28547f135427c completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f9965b8819080278ccef15288aa completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:05 a.m.