Triple

T14691391
Position Surface form Disambiguated ID Type / Status
Subject Emily the Criminal E345042 entity
Predicate mainCharacter P1183 FINISHED
Object Emily Benetto
Emily Benetto is the financially struggling young woman who turns to credit card fraud and increasingly dangerous criminal schemes in the crime thriller film "Emily the Criminal."
E1140250 NE FINISHED

How this triple was built (4 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: Emily Benetto | Statement: [Emily the Criminal, mainCharacter, Emily Benetto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emily Benetto
Context triple: [Emily the Criminal, mainCharacter, Emily Benetto]
  • A. Angelica Galante
    Angelica Galante was the mother of the renowned Italian Baroque sculptor and architect Gian Lorenzo Bernini.
  • B. Angelica Galante
    Angelica Galante is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
  • C. Lisa Loiacono
    Lisa Loiacono is a real estate agent best known as the wife of actor Christopher Lloyd.
  • D. Lisa Molinaro
    Lisa Molinaro is an American multi-instrumentalist and vocalist best known for her work with indie rock bands including Modest Mouse and Talkdemonic.
  • E. Nicole Grimaudo
    Nicole Grimaudo is an Italian actress known for her work in film, television, and theater, including prominent roles in contemporary Italian cinema.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Emily Benetto
Triple: [Emily the Criminal, mainCharacter, Emily Benetto]
Generated description
Emily Benetto is the financially struggling young woman who turns to credit card fraud and increasingly dangerous criminal schemes in the crime thriller film "Emily the Criminal."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Emily Benetto
Target entity description: Emily Benetto is the financially struggling young woman who turns to credit card fraud and increasingly dangerous criminal schemes in the crime thriller film "Emily the Criminal."
  • A. Angelica Galante
    Angelica Galante was the mother of the renowned Italian Baroque sculptor and architect Gian Lorenzo Bernini.
  • B. Angelica Galante
    Angelica Galante is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
  • C. Lisa Loiacono
    Lisa Loiacono is a real estate agent best known as the wife of actor Christopher Lloyd.
  • D. Lisa Molinaro
    Lisa Molinaro is an American multi-instrumentalist and vocalist best known for her work with indie rock bands including Modest Mouse and Talkdemonic.
  • E. Nicole Grimaudo
    Nicole Grimaudo is an Italian actress known for her work in film, television, and theater, including prominent roles in contemporary Italian cinema.
  • F. None of above. chosen

Provenance (5 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb585d46c81908d6964130914cec4 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfcf67348190862c65faa1c815f0 completed May 9, 2026, 5:02 a.m.
NEDg Description generation batch_69fec29663a4819090500e08d50c3055 completed May 9, 2026, 5:13 a.m.
NED2 Entity disambiguation (via description) batch_69fec3057b188190937bc4dc8897cd60 completed May 9, 2026, 5:15 a.m.
Created at: April 10, 2026, 1:28 a.m.