Triple

T3258091
Position Surface form Disambiguated ID Type / Status
Subject Zendaya E68343 entity
Predicate hasInstagramUsername P3718 FINISHED
Object zendaya
Zendaya is an American actress, singer, and producer best known for her roles in "Euphoria," the "Spider-Man" film series, and for her influential presence in fashion and popular culture.
E343261 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: zendaya | Statement: [Zendaya, hasInstagramUsername, zendaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: zendaya
Context triple: [Zendaya, hasInstagramUsername, zendaya]
  • A. Zay
    Zay is the surname of Jean Zay, a notable French politician and Minister of National Education and Fine Arts during the 1930s.
  • B. Zenia
    Zenia is a central, enigmatic and manipulative figure in Margaret Atwood's novel "The Robber Bride," whose disruptive influence profoundly affects the lives of three other women.
  • C. Zenani
    Zenani is a South African diplomat and the daughter of Nelson Mandela and Winnie Madikizela-Mandela.
  • D. Zawadi
    Zawadi is one of the energetic host characters in Disney’s “Festival of the Lion King” stage show at Disney’s Animal Kingdom.
  • E. Zaza
    Zaza is an Iranian ethnic group primarily inhabiting eastern Turkey, known for speaking the Zazaki language and maintaining distinct cultural traditions.
  • 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: zendaya
Triple: [Zendaya, hasInstagramUsername, zendaya]
Generated description
Zendaya is an American actress, singer, and producer best known for her roles in "Euphoria," the "Spider-Man" film series, and for her influential presence in fashion and popular culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: zendaya
Target entity description: Zendaya is an American actress, singer, and producer best known for her roles in "Euphoria," the "Spider-Man" film series, and for her influential presence in fashion and popular culture.
  • A. Zay
    Zay is the surname of Jean Zay, a notable French politician and Minister of National Education and Fine Arts during the 1930s.
  • B. Zenia
    Zenia is a central, enigmatic and manipulative figure in Margaret Atwood's novel "The Robber Bride," whose disruptive influence profoundly affects the lives of three other women.
  • C. Zenani
    Zenani is a South African diplomat and the daughter of Nelson Mandela and Winnie Madikizela-Mandela.
  • D. Zawadi
    Zawadi is one of the energetic host characters in Disney’s “Festival of the Lion King” stage show at Disney’s Animal Kingdom.
  • E. Zaza
    Zaza is an Iranian ethnic group primarily inhabiting eastern Turkey, known for speaking the Zazaki language and maintaining distinct cultural traditions.
  • 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_69ad858f74408190bcbd07f967cd7bd0 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf6a46448190a7fa0ca83fa096f8 completed March 8, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ed3a7908190bfab434a64af5f2f completed March 12, 2026, 10 a.m.
NEDg Description generation batch_69b2903dd0ac819088499f06edfeac56 completed March 12, 2026, 10:06 a.m.
NED2 Entity disambiguation (via description) batch_69b2d6bf36988190b394766e9821047c completed March 12, 2026, 3:07 p.m.
Created at: March 8, 2026, 3:09 p.m.