Triple

T11235552
Position Surface form Disambiguated ID Type / Status
Subject Emmanuelle Seigner E265931 entity
Predicate hasChild P369 FINISHED
Object Morgane Polanski
Morgane Polanski is a French actress and director known for her roles in film and television, including the series "Vikings."
E913137 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: Morgane Polanski | Statement: [Emmanuelle Seigner, hasChild, Morgane Polanski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morgane Polanski
Context triple: [Emmanuelle Seigner, hasChild, Morgane Polanski]
  • A. Yvonne Suhor
    Yvonne Suhor was an American actress best known for her television work in the late 1980s and 1990s, particularly in Western and drama series.
  • B. Violette Nozière
    Violette Nozière is a 1978 French crime drama film by Claude Chabrol that recounts the true story of a notorious 1930s French parricide case.
  • C. Jacqueline Moreau
    Jacqueline Moreau is a French costume designer best known for her work on the classic musical film "The Umbrellas of Cherbourg."
  • D. Marianne Peretti
    Marianne Peretti was a French-Brazilian artist renowned for her monumental stained-glass works in major Brazilian modernist buildings, including Oscar Niemeyer’s Cathedral of Brasília.
  • E. Mireille Soria
    Mireille Soria is a film producer best known for her work on major animated features at DreamWorks Animation.
  • 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: Morgane Polanski
Triple: [Emmanuelle Seigner, hasChild, Morgane Polanski]
Generated description
Morgane Polanski is a French actress and director known for her roles in film and television, including the series "Vikings."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Morgane Polanski
Target entity description: Morgane Polanski is a French actress and director known for her roles in film and television, including the series "Vikings."
  • A. Yvonne Suhor
    Yvonne Suhor was an American actress best known for her television work in the late 1980s and 1990s, particularly in Western and drama series.
  • B. Violette Nozière
    Violette Nozière is a 1978 French crime drama film by Claude Chabrol that recounts the true story of a notorious 1930s French parricide case.
  • C. Jacqueline Moreau
    Jacqueline Moreau is a French costume designer best known for her work on the classic musical film "The Umbrellas of Cherbourg."
  • D. Marianne Peretti
    Marianne Peretti was a French-Brazilian artist renowned for her monumental stained-glass works in major Brazilian modernist buildings, including Oscar Niemeyer’s Cathedral of Brasília.
  • E. Mireille Soria
    Mireille Soria is a film producer best known for her work on major animated features at DreamWorks Animation.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e904cf888190826fc964f76b5cb2 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad6308f8819085652d6c529ac821 completed April 19, 2026, 10:24 a.m.
NEDg Description generation batch_69e4b12dd658819085c25d3edac2d66c completed April 19, 2026, 10:40 a.m.
NED2 Entity disambiguation (via description) batch_69e4b3e05b488190bf2e3810ba2f250e completed April 19, 2026, 10:52 a.m.
Created at: April 8, 2026, 9:30 p.m.