Triple

T23094799
Position Surface form Disambiguated ID Type / Status
Subject Mantello E575853 entity
Predicate hasNotableBearer P458 FINISHED
Object Joe Mantello (director and actor) 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: Joe Mantello (director and actor) | Statement: [Mantello, hasNotableBearer, Joe Mantello (director and actor)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Mantello (director and actor)
Context triple: [Mantello, hasNotableBearer, Joe Mantello (director and actor)]
  • A. Joseph Mantello chosen
    Joseph Mantello is an American actor and Tony Award–winning director best known for his work on prominent Broadway productions such as "Wicked" and "Take Me Out."
  • B. Joe Mantegna
    Joe Mantegna is an American actor known for his work in film, television, and theater, including roles in "Criminal Minds" and "The Godfather Part III."
  • C. James LoMenzo
    James LoMenzo is an American bassist best known for his work with heavy metal bands such as Megadeth, White Lion, and Black Label Society.
  • D. Joe Stillman
    Joe Stillman is an American screenwriter best known for his work on the hit animated Shrek films and various television comedies.
  • E. Robert Mammone
    Robert Mammone is an Australian actor known for his work in film and television, including roles in war dramas and action-oriented productions.
  • 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_69e245c060b48190a9bd61a47a16db17 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18de3b2b481909ef598b447ed4dd2 completed April 29, 2026, 4:49 a.m.
Created at: April 17, 2026, 3:57 p.m.