Triple

T19766601
Position Surface form Disambiguated ID Type / Status
Subject Belleville Bulls E474772 entity
Predicate notableAlumni P51 FINISHED
Object Steven Silas 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: Steven Silas | Statement: [Belleville Bulls, notableAlumni, Steven Silas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steven Silas
Context triple: [Belleville Bulls, notableAlumni, Steven Silas]
  • A. Stephen Silas chosen
    Stephen Silas is an American professional basketball coach best known for serving as head coach of the Houston Rockets in the NBA.
  • B. Trey Brown
    Trey Brown is a co-author of the nonfiction book "Facts and Fears: Hard Truths from a Life in Intelligence," which examines U.S. intelligence operations and national security.
  • C. Lionel Hollins
    Lionel Hollins is a former NBA guard and championship-winning player who later became a head coach in the league, most notably with the Memphis Grizzlies.
  • D. Mark Jackson
    Mark Jackson is a character in the 1995 horror film "The Mangler," which is based on a Stephen King short story about a possessed industrial laundry machine.
  • E. Mark Jackson
    Mark Jackson is a British actor best known for playing the android Isaac on the science fiction television series "The Orville."
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653232e508190a7d484c0a1e2939a completed April 20, 2026, 4:24 p.m.
Created at: April 10, 2026, 1:48 p.m.