Triple

T17508204
Position Surface form Disambiguated ID Type / Status
Subject Jessie and Morgiana E426379 entity
Predicate hasCharacter P2308 FINISHED
Object Jessie
Jessie is a fictional character who appears alongside Morgiana, likely within a shared narrative or series.
E1272691 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: [Jessie and Morgiana, hasCharacter, Jessie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jessie
Context triple: [Jessie and Morgiana, hasCharacter, 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 a person whose full name is Jessie Oriana Huxley.
  • D. Jessie
    Jessie is a given name commonly used as a diminutive or variant of names like Jessica or Jesse.
  • E. Jessie
    Jessie is the central character in the 2006 British comedy-drama film "Venus," around whom the story’s emotional and relational tensions revolve.
  • 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: [Jessie and Morgiana, hasCharacter, Jessie]
Generated description
Jessie is a fictional character who appears alongside Morgiana, likely within a shared narrative or series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jessie
Target entity description: Jessie is a fictional character who appears alongside Morgiana, likely within a shared narrative or series.
  • 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 person whose full name is Jessie Oriana Huxley.
  • C. Jessie
    Jessie is the central character in the 2006 British comedy-drama film "Venus," around whom the story’s emotional and relational tensions revolve.
  • D. Jessie
    Jessie is a given name commonly used as a diminutive or variant of names like Jessica or Jesse.
  • E. Jessie
    Jessie is a given name associated with the acclaimed British-American actress Jessica Tandy, known for her distinguished stage and film career.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4525985f881909a5ad28b30762680 completed April 19, 2026, 3:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01c20cbf8081909227938b324e45fe completed May 11, 2026, 11:48 a.m.
NEDg Description generation batch_6a01c388d87c8190ad015b2b63bef528 completed May 11, 2026, 11:54 a.m.
NED2 Entity disambiguation (via description) batch_6a01c431b4608190b5636a232ff46733 completed May 11, 2026, 11:57 a.m.
Created at: April 10, 2026, 5:48 a.m.