Triple

T6329142
Position Surface form Disambiguated ID Type / Status
Subject Tutty Bomowski E141932 entity
Predicate relatedTo P37 FINISHED
Object Joe Bomowski E586715 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: Joe Bomowski | Statement: [Tutty Bomowski, relatedTo, Joe Bomowski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Bomowski
Context triple: [Tutty Bomowski, relatedTo, Joe Bomowski]
  • A. Joe Bomowski chosen
    Joe Bomowski is a fictional tough-but-comedic police sergeant portrayed by Sylvester Stallone in the 1992 action-comedy film "Stop! Or My Mom Will Shoot."
  • B. Aaron Marc Stein
    Aaron Marc Stein was an American mystery and detective fiction author best known for his long-running series written under his own name and the pseudonym George Bagby.
  • C. Billy Smith
    Billy Smith is a Hall of Fame Canadian goaltender best known for backstopping the New York Islanders to four consecutive Stanley Cup championships in the early 1980s.
  • D. Hal Bynum
    Hal Bynum was an American country music songwriter best known for penning narrative-driven hits for artists like Kenny Rogers and Johnny Cash.
  • E. Frank Kaminsky
    Frank Kaminsky is an American professional basketball player best known for his standout collegiate career at the University of Wisconsin and subsequent play in the NBA as a skilled, floor-stretching big man.
  • 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_69c008d201748190917e69c41ba3f978 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0651197908190a30e504e2442d40f completed March 22, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d3a68f881908de1d9e70e00cb02 completed March 27, 2026, 7:09 a.m.
Created at: March 22, 2026, 4:30 p.m.