Triple

T20666989
Position Surface form Disambiguated ID Type / Status
Subject Joe Doto E507917 entity
Predicate alsoKnownAs P39 FINISHED
Object Joe Adonis E118685 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 Adonis | Statement: [Joe Doto, alsoKnownAs, Joe Adonis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Adonis
Context triple: [Joe Doto, alsoKnownAs, Joe Adonis]
  • A. Joe Adonis chosen
    Joe Adonis was a prominent Italian-American mobster and influential figure in organized crime in the United States during the early to mid-20th century.
  • B. Don George
    Don George was an American lyricist best known for writing popular songs and collaborating with prominent composers in the mid-20th century.
  • C. Joseph Zito
    Joseph Zito is an American film director best known for his work in 1980s horror and action cinema, including entries in the Friday the 13th franchise and films like Invasion U.S.A.
  • D. Ronald Sossi
    Ronald Sossi is an American theater director and producer best known as the founder and longtime artistic director of the Odyssey Theatre Ensemble in Los Angeles.
  • E. Andy Scurto
    Andy Scurto is an American businessman and sports executive best known for owning the Tulsa Oilers professional ice hockey team.
  • 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5c39dd48190965d65537592aef6 completed April 20, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08cd6271e481909e3a6f10ec40ce11 completed May 16, 2026, 8:02 p.m.
Created at: April 16, 2026, 11:44 a.m.