Triple

T22259502
Position Surface form Disambiguated ID Type / Status
Subject Eleanor E550179 entity
Predicate helpsCharacter P7748 FINISHED
Object Mia Walsh 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: Mia Walsh | Statement: [Eleanor, helpsCharacter, Mia Walsh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mia Walsh
Context triple: [Eleanor, helpsCharacter, Mia Walsh]
  • A. Mia Walsh chosen
    Mia Walsh is a character in the Disney fantasy-comedy film "Godmothered," serving as one of the key figures around whom the story’s magical mishaps and emotional developments revolve.
  • B. Mia Dolan
    Mia Dolan is an aspiring actress in Los Angeles and one of the two central protagonists of the musical film "La La Land."
  • C. Mia Morgan
    Mia Morgan is a central character in the romantic comedy-drama film "The Best Man," around whom much of the story’s interpersonal conflict and emotional tension revolves.
  • D. Mia Sutton
    Mia Sutton is a central character in the 2017 live-action adaptation of "Death Note," portrayed as a high school student whose ruthless ambition and fascination with the deadly notebook drive much of the film’s dark plot.
  • E. Mia Allen
    Mia Allen is the troubled young woman who becomes the central survivor and demonic focal point in the 2013 horror film "Evil Dead."
  • 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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f138c5b54c8190854690ba599639fa completed April 28, 2026, 10:46 p.m.
Created at: April 16, 2026, 8:39 p.m.