Triple

T20898446
Position Surface form Disambiguated ID Type / Status
Subject Mississippi Grind E514604 entity
Predicate editedBy P1954 FINISHED
Object Tom McArdle 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: Tom McArdle | Statement: [Mississippi Grind, editedBy, Tom McArdle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom McArdle
Context triple: [Mississippi Grind, editedBy, Tom McArdle]
  • A. Tom McArdle chosen
    Tom McArdle is an American film editor known for his work on independent and character-driven films, including the critically acclaimed drama "The Visitor" (2007).
  • B. James McArdle
    James McArdle is a Scottish actor known for his work in film, television, and theatre, including prominent roles in projects such as the historical drama "Ammonite."
  • C. Ryan McCartan
    Ryan McCartan is an American actor and singer known for his work on Disney Channel projects and as one half of the former pop duo The Girl and the Dreamcatcher with Dove Cameron.
  • D. Brendan McLoughlin
    Brendan McLoughlin is a former New York City police officer who gained public attention through his marriage to country music star Miranda Lambert.
  • E. Brendan McCarthy
    Brendan McCarthy is an actor known for his role in the science fiction thriller film "Self/less."
  • 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_69e0b4f7ebe48190952a85547a0f31a1 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6e8f826788190b11008cc94b2a4e4 completed April 21, 2026, 3:03 a.m.
Created at: April 16, 2026, 12:47 p.m.