Triple

T10004400
Position Surface form Disambiguated ID Type / Status
Subject Behati Prinsloo E198206 entity
Predicate givenName P17 FINISHED
Object Behati
Behati is a Namibian-born fashion model best known for her work as a Victoria’s Secret Angel and her high-profile presence in the international modeling industry.
 E835847 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: Behati | Statement: [Behati Prinsloo, givenName, Behati]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Behati
Context triple: [Behati Prinsloo, givenName, Behati]
  • A. Biloela
    Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
  • B. Baafira
    Baafira is a popular dancehall/reggae song by Ghanaian artist Stonebwoy that helped boost his prominence in the African music scene.
  • C. Buhera
    Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
  • D. Chambeali
    Chambeali is an Indo-Aryan language spoken primarily in the Chamba region of Himachal Pradesh in northern India.
  • E. Baashha
    Baashha is a hugely popular 1995 Tamil action film starring Rajinikanth, celebrated for its iconic dialogues, mass appeal, and enduring cult status in Indian cinema.
  • 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: Behati
Triple: [Behati Prinsloo, givenName, Behati]
Generated description
Behati is a Namibian-born fashion model best known for her work as a Victoria’s Secret Angel and her high-profile presence in the international modeling industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Behati
Target entity description: Behati is a Namibian-born fashion model best known for her work as a Victoria’s Secret Angel and her high-profile presence in the international modeling industry.
  • A. Biloela
    Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
  • B. Baafira
    Baafira is a popular dancehall/reggae song by Ghanaian artist Stonebwoy that helped boost his prominence in the African music scene.
  • C. Buhera
    Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
  • D. Chambeali
    Chambeali is an Indo-Aryan language spoken primarily in the Chamba region of Himachal Pradesh in northern India.
  • E. Baashha
    Baashha is a hugely popular 1995 Tamil action film starring Rajinikanth, celebrated for its iconic dialogues, mass appeal, and enduring cult status in Indian cinema.
  • 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_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd141ec08190b857fe7e15a8df93 completed April 2, 2026, 1:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a5058a08190b850d30ca0ee8bc8 completed April 5, 2026, 1:57 p.m.
NEDg Description generation batch_69d26b6d52e8819082fed0bfdaf48e4c completed April 5, 2026, 2:02 p.m.
NED2 Entity disambiguation (via description) batch_69d26c3d5f2081909bf1a1565b66eca9 completed April 5, 2026, 2:05 p.m.
Created at: March 30, 2026, 8:51 p.m.