Triple

T16696744
Position Surface form Disambiguated ID Type / Status
Subject AWGE E405734 entity
Predicate collaboratedWith P435 FINISHED
Object Marine Serre
Marine Serre is a French fashion designer known for her futuristic, eco-conscious collections and signature crescent moon motif.
 E1229925 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: Marine Serre | Statement: [AWGE, collaboratedWith, Marine Serre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marine Serre
Context triple: [AWGE, collaboratedWith, Marine Serre]
  • A. Lemaire
    Lemaire is a French surname borne by various notable figures in fields such as sports, politics, and the arts.
  • B. Herve
    Herve is a municipality in the province of Liège in Wallonia, eastern Belgium, known for its rural landscape and traditional Herve cheese.
  • C. Delbonnel
    Delbonnel is the surname of acclaimed French cinematographer Bruno Delbonnel, known for his distinctive visual style in contemporary cinema.
  • D. Denis of Paris
    Denis of Paris is a 3rd-century Christian martyr and bishop, venerated as the patron saint of Paris and traditionally regarded as one of the city’s earliest evangelizers.
  • E. Kumpire Dior
    Kumpire Dior is a high mountain peak in the remote Batura Muztagh subrange of the Karakoram in northern Pakistan.
  • 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: Marine Serre
Triple: [AWGE, collaboratedWith, Marine Serre]
Generated description
Marine Serre is a French fashion designer known for her futuristic, eco-conscious collections and signature crescent moon motif.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marine Serre
Target entity description: Marine Serre is a French fashion designer known for her futuristic, eco-conscious collections and signature crescent moon motif.
  • A. Lemaire
    Lemaire is a French surname borne by various notable figures in fields such as sports, politics, and the arts.
  • B. Herve
    Herve is a municipality in the province of Liège in Wallonia, eastern Belgium, known for its rural landscape and traditional Herve cheese.
  • C. Delbonnel
    Delbonnel is the surname of acclaimed French cinematographer Bruno Delbonnel, known for his distinctive visual style in contemporary cinema.
  • D. Denis of Paris
    Denis of Paris is a 3rd-century Christian martyr and bishop, venerated as the patron saint of Paris and traditionally regarded as one of the city’s earliest evangelizers.
  • E. Kumpire Dior
    Kumpire Dior is a high mountain peak in the remote Batura Muztagh subrange of the Karakoram in northern Pakistan.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3832e93c48190a594c498e9cc901a completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00919d02088190acecb1a62a100255 completed May 10, 2026, 2:09 p.m.
NEDg Description generation batch_6a009a013ccc81908becd542b2f12e8f completed May 10, 2026, 2:45 p.m.
NED2 Entity disambiguation (via description) batch_6a009abdf55081908976fa9f9752a447 completed May 10, 2026, 2:48 p.m.
Created at: April 10, 2026, 5:19 a.m.