Triple

T22395835
Position Surface form Disambiguated ID Type / Status
Subject Stuck in the Middle E553626 entity
Predicate character P662 FINISHED
Object Rachel Diaz 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: Rachel Diaz | Statement: [Stuck in the Middle, character, Rachel Diaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachel Diaz
Context triple: [Stuck in the Middle, character, Rachel Diaz]
  • A. Melonie Diaz
    Melonie Diaz is an American actress known for her work in independent films and television, including prominent roles in projects like "Fruitvale Station" and the "Charmed" reboot.
  • B. Rebecca Rodriguez
    Rebecca Rodriguez is a film editor known for her work on the family action-adventure movie "Spy Kids: All the Time in the World."
  • C. Aimee Garcia
    Aimee Garcia is an American actress best known for her television roles on shows like "Dexter" and "Lucifer," as well as her work in film and voice acting.
  • D. Allegra Acosta chosen
    Allegra Acosta is an American actress best known for playing Molly Hernandez in the Marvel television series "Runaways."
  • E. Drea Torres
    Drea Torres is the ambitious, status-conscious high school student and main protagonist of the dark teen comedy film "Do Revenge," portrayed by Camila Mendes.
  • 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1585e84b081908c95ed3e0d987ed8 completed April 29, 2026, 1:01 a.m.
Created at: April 16, 2026, 8:45 p.m.