Triple

T10660787
Position Surface form Disambiguated ID Type / Status
Subject Venus (2006 film) E251217 entity
Predicate mainCharacter P1183 FINISHED
Object Jessie
Jessie is the central character in the 2006 British comedy-drama film "Venus," around whom the story’s emotional and relational tensions revolve.
E877481 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: Jessie | Statement: [Venus (2006 film), mainCharacter, Jessie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jessie
Context triple: [Venus (2006 film), mainCharacter, Jessie]
  • A. Jessie
    Jessie is a spirited, yodeling cowgirl doll from the Toy Story franchise known for her energetic personality and emotional backstory.
  • B. Jessie
    Jessie is a given name associated with the acclaimed British-American actress Jessica Tandy, known for her distinguished stage and film career.
  • C. Jessie
    Jessie is the given name of Jessie James Combs, an American television personality and professional racer known for her work on automotive and metal fabrication shows.
  • D. Jessie
    Jessie is a person whose full name is Jessie Oriana Huxley.
  • E. Jessie
    Jessie is a given name commonly used as a diminutive or variant of names like Jessica or Jesse.
  • 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: Jessie
Triple: [Venus (2006 film), mainCharacter, Jessie]
Generated description
Jessie is the central character in the 2006 British comedy-drama film "Venus," around whom the story’s emotional and relational tensions revolve.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jessie
Target entity description: Jessie is the central character in the 2006 British comedy-drama film "Venus," around whom the story’s emotional and relational tensions revolve.
  • A. Jessie
    Jessie is a spirited, yodeling cowgirl doll from the Toy Story franchise known for her energetic personality and emotional backstory.
  • B. Jessie
    Jessie is a given name associated with the acclaimed British-American actress Jessica Tandy, known for her distinguished stage and film career.
  • C. Jessie
    Jessie is the given name of Jessie James Combs, an American television personality and professional racer known for her work on automotive and metal fabrication shows.
  • D. Jessie
    Jessie is a person whose full name is Jessie Oriana Huxley.
  • E. Jessie
    Jessie is a given name commonly used as a diminutive or variant of names like Jessica or Jesse.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6e017f97c8190b22765a6f1e6719d completed April 8, 2026, 11:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a8cabc88190b430cb08ed0fc515 completed April 10, 2026, 10:32 p.m.
NEDg Description generation batch_69d97cd3eab48190a191f0d8278ef761 completed April 10, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69d97e13913081908dd1fb60fa44db05 completed April 10, 2026, 10:47 p.m.
Created at: April 8, 2026, 9:08 p.m.