Triple

T13119075
Position Surface form Disambiguated ID Type / Status
Subject Anya Taylor-Joy E311675 entity
Predicate notableRole P22 FINISHED
Object Margot in The Menu
Margot in *The Menu* is the sharp, skeptical young woman who becomes the unexpected moral and emotional center of the film’s darkly satirical dining experience.
E1022331 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: Margot in The Menu | Statement: [Anya Taylor-Joy, notableRole, Margot in The Menu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margot in The Menu
Context triple: [Anya Taylor-Joy, notableRole, Margot in The Menu]
  • A. Marcella
    Marcella is a British crime drama television series centered on a troubled former detective who returns to investigate a string of murders that echo an old case.
  • B. Starlette
    Starlette is a lightweight, high-performance ASGI framework for building asynchronous web applications and services in Python.
  • C. Margo
    Margo was a Mexican-American actress and dancer known for her work in Hollywood films of the 1930s and 1940s and for her later stage and television appearances.
  • D. Margo
    Margo is the responsible and intelligent eldest of Gru’s three adopted daughters in the Despicable Me franchise.
  • E. Margo
    Margo is a feminine given name commonly used in English-speaking countries, often considered a variant of Margot or Margaret.
  • 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: Margot in The Menu
Triple: [Anya Taylor-Joy, notableRole, Margot in The Menu]
Generated description
Margot in *The Menu* is the sharp, skeptical young woman who becomes the unexpected moral and emotional center of the film’s darkly satirical dining experience.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Margot in The Menu
Target entity description: Margot in *The Menu* is the sharp, skeptical young woman who becomes the unexpected moral and emotional center of the film’s darkly satirical dining experience.
  • A. Marcella
    Marcella is a British crime drama television series centered on a troubled former detective who returns to investigate a string of murders that echo an old case.
  • B. Starlette
    Starlette is a lightweight, high-performance ASGI framework for building asynchronous web applications and services in Python.
  • C. Margo
    Margo was a Mexican-American actress and dancer known for her work in Hollywood films of the 1930s and 1940s and for her later stage and television appearances.
  • D. Margo
    Margo is the responsible and intelligent eldest of Gru’s three adopted daughters in the Despicable Me franchise.
  • E. Margo
    Margo is a feminine given name commonly used in English-speaking countries, often considered a variant of Margot or Margaret.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98196e69081909111407ee3d9f08e completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e284c3c881909d65e2ba89fbe7af completed May 3, 2026, 5:52 a.m.
NEDg Description generation batch_69f6e383dd8c8190872304c99b753152 completed May 3, 2026, 5:56 a.m.
NED2 Entity disambiguation (via description) batch_69f6e47b052c8190a6f6ca5a6bd210f5 completed May 3, 2026, 6 a.m.
Created at: April 9, 2026, 9:06 p.m.