Triple

T23362342
Position Surface form Disambiguated ID Type / Status
Subject Mon homme E593216 entity
Predicate castMember P1668 FINISHED
Object Anouk Grinberg
Anouk Grinberg is a French actress known for her work in film, television, and theater, often appearing in critically acclaimed European productions.
E1584656 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: Anouk Grinberg | Statement: [Mon homme, castMember, Anouk Grinberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anouk Grinberg
Context triple: [Mon homme, castMember, Anouk Grinberg]
  • A. Amandine Malkovich
    Amandine Malkovich is one of the children of American actor and filmmaker John Malkovich.
  • B. Odette Yustman
    Odette Yustman is an American actress known for her roles in films such as Cloverfield and The Unborn, as well as various television series.
  • C. Simone Schiffrin
    Simone Schiffrin was the wife of French-Russian publisher Jacques Schiffrin, founder of the prestigious Bibliothèque de la Pléiade series.
  • D. Annick Castiaux
    Annick Castiaux is a Belgian academic and university leader who serves as rector of the University of Namur.
  • E. Ludivine Sagnier
    Ludivine Sagnier is a French actress known for her versatile performances in both art-house and mainstream films, as well as in international television series.
  • 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: Anouk Grinberg
Triple: [Mon homme, castMember, Anouk Grinberg]
Generated description
Anouk Grinberg is a French actress known for her work in film, television, and theater, often appearing in critically acclaimed European productions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anouk Grinberg
Target entity description: Anouk Grinberg is a French actress known for her work in film, television, and theater, often appearing in critically acclaimed European productions.
  • A. Amandine Malkovich
    Amandine Malkovich is one of the children of American actor and filmmaker John Malkovich.
  • B. Odette Yustman
    Odette Yustman is an American actress known for her roles in films such as Cloverfield and The Unborn, as well as various television series.
  • C. Simone Schiffrin
    Simone Schiffrin was the wife of French-Russian publisher Jacques Schiffrin, founder of the prestigious Bibliothèque de la Pléiade series.
  • D. Annick Castiaux
    Annick Castiaux is a Belgian academic and university leader who serves as rector of the University of Namur.
  • E. Ludivine Sagnier
    Ludivine Sagnier is a French actress known for her versatile performances in both art-house and mainstream films, as well as in international television series.
  • 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_69e25d24d2a4819092e6ede74c2a918d completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0aa0ed88190b0198cbfd1bcc59b completed April 29, 2026, 6:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5dd5ca4881909453c262d6ab9b1a completed May 19, 2026, 12:55 p.m.
NEDg Description generation batch_6a0c61cdf14481909173cc65e16f2c82 completed May 19, 2026, 1:12 p.m.
NED2 Entity disambiguation (via description) batch_6a0c625b52248190ba3d59f42dd99da3 completed May 19, 2026, 1:15 p.m.
Created at: April 17, 2026, 5:30 p.m.