Triple

T17944867
Position Surface form Disambiguated ID Type / Status
Subject Hunter Schafer E448676 entity
Predicate hasModeledFor P17880 FINISHED
Object Sies Marjan
Sies Marjan was a New York-based luxury fashion label known for its vibrant colors, innovative textiles, and modern, gender-fluid designs under creative director Sander Lak.
E1298039 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: Sies Marjan | Statement: [Hunter Schafer, hasModeledFor, Sies Marjan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sies Marjan
Context triple: [Hunter Schafer, hasModeledFor, Sies Marjan]
  • A. Melanija Knavs
    Melanija Knavs is the Slovenian-born former fashion model who became First Lady of the United States as the wife of Donald Trump.
  • B. Katerina Brac
    Katerina Brac is a poetry collection by British poet Christopher Reid, presented as the translated works of an invented Eastern European poet of the same name.
  • C. Julijana
    Julijana is a feminine given name, commonly used in Slavic countries, that corresponds to the name Juliana in other languages.
  • D. Sonja Severdija
    Sonja Severdija is best known as the wife of minimalist light artist Dan Flavin.
  • E. Olinka Vištica
    Olinka Vištica is a Croatian artist and curator best known as the co-creator of the internationally acclaimed Museum of Broken Relationships in Zagreb.
  • 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: Sies Marjan
Triple: [Hunter Schafer, hasModeledFor, Sies Marjan]
Generated description
Sies Marjan was a New York-based luxury fashion label known for its vibrant colors, innovative textiles, and modern, gender-fluid designs under creative director Sander Lak.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sies Marjan
Target entity description: Sies Marjan was a New York-based luxury fashion label known for its vibrant colors, innovative textiles, and modern, gender-fluid designs under creative director Sander Lak.
  • A. Melanija Knavs
    Melanija Knavs is the Slovenian-born former fashion model who became First Lady of the United States as the wife of Donald Trump.
  • B. Katerina Brac
    Katerina Brac is a poetry collection by British poet Christopher Reid, presented as the translated works of an invented Eastern European poet of the same name.
  • C. Julijana
    Julijana is a feminine given name, commonly used in Slavic countries, that corresponds to the name Juliana in other languages.
  • D. Sonja Severdija
    Sonja Severdija is best known as the wife of minimalist light artist Dan Flavin.
  • E. Olinka Vištica
    Olinka Vištica is a Croatian artist and curator best known as the co-creator of the internationally acclaimed Museum of Broken Relationships in Zagreb.
  • 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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad9819a88190ad4ea7d562cf3f28 completed April 19, 2026, 10:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03291a7bc08190b5e3a997594b12de completed May 12, 2026, 1:20 p.m.
NEDg Description generation batch_6a032b6bbebc819084da96216c6406d6 completed May 12, 2026, 1:30 p.m.
NED2 Entity disambiguation (via description) batch_6a032c34e8ac8190876e37fe8d3aa304 completed May 12, 2026, 1:33 p.m.
Created at: April 10, 2026, 10:21 a.m.