Triple

T18139934
Position Surface form Disambiguated ID Type / Status
Subject La Bûche E434233 entity
Predicate editedBy P1954 FINISHED
Object Emmanuelle Castro
Emmanuelle Castro is a film editor known for her work on the French film "La Bûche."
E1346981 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: Emmanuelle Castro | Statement: [La Bûche, editedBy, Emmanuelle Castro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emmanuelle Castro
Context triple: [La Bûche, editedBy, Emmanuelle Castro]
  • A. Emanuelle Naim
    Emanuelle Naim is an actress known for playing the character Lucy Harris.
  • B. Giovanna Yannotti
    Giovanna Yannotti is an American actress and model best known for her marriage to professional wrestler and Olympic gold medalist Kurt Angle.
  • C. Claudia Castello
    Claudia Castello is a Brazilian film editor best known for her work on major feature films including the boxing drama "Creed."
  • D. Héléna Noguerra
    Héléna Noguerra is a Belgian-born French actress, singer, and writer known for her work in film, television, and music.
  • E. Adriana Varela
    Adriana Varela is an acclaimed Argentine tango singer known for her intense, smoky vocal style and modern interpretations of classic tangos.
  • 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: Emmanuelle Castro
Triple: [La Bûche, editedBy, Emmanuelle Castro]
Generated description
Emmanuelle Castro is a film editor known for her work on the French film "La Bûche."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Emmanuelle Castro
Target entity description: Emmanuelle Castro is a film editor known for her work on the French film "La Bûche."
  • A. Emanuelle Naim
    Emanuelle Naim is an actress known for playing the character Lucy Harris.
  • B. Giovanna Yannotti
    Giovanna Yannotti is an American actress and model best known for her marriage to professional wrestler and Olympic gold medalist Kurt Angle.
  • C. Claudia Castello
    Claudia Castello is a Brazilian film editor best known for her work on major feature films including the boxing drama "Creed."
  • D. Héléna Noguerra
    Héléna Noguerra is a Belgian-born French actress, singer, and writer known for her work in film, television, and music.
  • E. Adriana Varela
    Adriana Varela is an acclaimed Argentine tango singer known for her intense, smoky vocal style and modern interpretations of classic tangos.
  • 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de0a59d08190be74c1ecc00a8f3a completed April 19, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a05759f7a3c81908d4b36bdce91bcad completed May 14, 2026, 7:11 a.m.
NEDg Description generation batch_6a05776c82c08190a5d8dd3bc4db2852 completed May 14, 2026, 7:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0578a2a6dc8190ad35ae8c59f8d633 completed May 14, 2026, 7:24 a.m.
Created at: April 10, 2026, 10:29 a.m.