Triple

T13304556
Position Surface form Disambiguated ID Type / Status
Subject Joe Mantell E316903 entity
Predicate name P16 FINISHED
Object Joe Mantell E316903 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 Mantell | Statement: [Joe Mantell, name, Joe Mantell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Mantell
Context triple: [Joe Mantell, name, Joe Mantell]
  • A. Joe Mantell chosen
    Joe Mantell was an American character actor best known for his roles in classic films such as "Marty" and "Chinatown."
  • B. Joe Messina
    Joe Messina was an American guitarist best known as one of Motown’s legendary session musicians, contributing to countless hits as part of the Funk Brothers.
  • C. Joe Davola
    Joe Davola is a television producer best known for his work on popular comedy series such as The Amanda Show and his earlier involvement with Seinfeld.
  • D. Joe Viterelli
    Joe Viterelli was an American character actor best known for his comedic portrayals of tough, mob-connected figures in films such as "Analyze This" and its sequel.
  • E. Matt Manfredi
    Matt Manfredi is an American screenwriter best known for co-writing genre films such as the action-fantasy remake "Clash of the Titans" (2010) and various collaborations with writing partner Phil Hay.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a76adc8190ab9abcdb79a21ca8 completed April 11, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fcb6419a3c8190bfaeab65f3909474 completed May 7, 2026, 3:56 p.m.
Created at: April 9, 2026, 9:28 p.m.