Triple

T2246826
Position Surface form Disambiguated ID Type / Status
Subject Jodie Whittaker E49522 entity
Predicate playedCharacter P1507 FINISHED
Object Jess (Venus)
Jess (Venus) is a character portrayed by Jodie Whittaker in the 2006 British romantic comedy film "Venus."
 E246926 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: Jess (Venus) | Statement: [Jodie Whittaker, playedCharacter, Jess (Venus)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jess (Venus)
Context triple: [Jodie Whittaker, playedCharacter, Jess (Venus)]
  • A. Vanessa
    Vanessa is an English feminine given name that gained wider recognition through public figures such as Vanessa Trump.
  • B. Tessa
    Tessa is a feminine given name commonly used in English-speaking countries, often as a diminutive of Theresa or Therese.
  • C. Nicole
    Nicole is a central character in Margaret Atwood's dystopian novel "The Testaments," whose story helps expose and challenge the oppressive regime of Gilead.
  • D. Jane
    Jane is a feminine given name of English origin that has been widely used in many English-speaking countries for centuries.
  • E. Vivian
    Vivian "Buster" Burey Marshall was a civil rights activist and the first wife of U.S. Supreme Court Justice Thurgood Marshall.
  • 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: Jess (Venus)
Triple: [Jodie Whittaker, playedCharacter, Jess (Venus)]
Generated description
Jess (Venus) is a character portrayed by Jodie Whittaker in the 2006 British romantic comedy film "Venus."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jess (Venus)
Target entity description: Jess (Venus) is a character portrayed by Jodie Whittaker in the 2006 British romantic comedy film "Venus."
  • A. Vanessa
    Vanessa is an English feminine given name that gained wider recognition through public figures such as Vanessa Trump.
  • B. Tessa
    Tessa is a feminine given name commonly used in English-speaking countries, often as a diminutive of Theresa or Therese.
  • C. Nicole
    Nicole is a central character in Margaret Atwood's dystopian novel "The Testaments," whose story helps expose and challenge the oppressive regime of Gilead.
  • D. Jane
    Jane is a feminine given name of English origin that has been widely used in many English-speaking countries for centuries.
  • E. Vivian
    Vivian "Buster" Burey Marshall was a civil rights activist and the first wife of U.S. Supreme Court Justice Thurgood Marshall.
  • 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_69a88aa979788190ad6500f1d8eee2fc completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0ec46b08190ae12de8b255eb71d completed March 7, 2026, 6:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b147b388190a20a604cc176191f completed March 9, 2026, 6:39 a.m.
NEDg Description generation batch_69ae6b9edb688190a4e6e4a4ddf964f3 completed March 9, 2026, 6:41 a.m.
NED2 Entity disambiguation (via description) batch_69ae6bfbb6cc81909d647b3875450b4b completed March 9, 2026, 6:43 a.m.
Created at: March 4, 2026, 7:47 p.m.