Triple

T10019104
Position Surface form Disambiguated ID Type / Status
Subject Inland Empire E199569 entity
Predicate featuresCharacter P626 FINISHED
Object Susan Blue
Susan Blue is a character appearing in David Lynch’s surreal psychological film "Inland Empire."
 E836320 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: Susan Blue | Statement: [Inland Empire, featuresCharacter, Susan Blue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Susan Blue
Context triple: [Inland Empire, featuresCharacter, Susan Blue]
  • A. Carol Blue
    Carol Blue was a British-born American writer and journalist best known for her essays and for being the widow of author and polemicist Christopher Hitchens.
  • B. Susan Wells
    Susan Wells is a fictional character in the film "Elf," known as the long-lost biological mother of Buddy the Elf.
  • C. Susan Holbrook
    Susan Holbrook is a Canadian poet and writer known for her innovative, playful approach to language and experimental forms.
  • D. Susan Blanchard
    Susan Blanchard is an American socialite and former Broadway production assistant best known as the third wife of actor Henry Fonda.
  • E. Susan Applegate
    Susan Applegate is the adult woman who disguises herself as a twelve-year-old girl to obtain a cheaper train fare in the classic 1942 Billy Wilder comedy film "The Major and the Minor."
  • 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: Susan Blue
Triple: [Inland Empire, featuresCharacter, Susan Blue]
Generated description
Susan Blue is a character appearing in David Lynch’s surreal psychological film "Inland Empire."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Susan Blue
Target entity description: Susan Blue is a character appearing in David Lynch’s surreal psychological film "Inland Empire."
  • A. Carol Blue
    Carol Blue was a British-born American writer and journalist best known for her essays and for being the widow of author and polemicist Christopher Hitchens.
  • B. Susan Wells
    Susan Wells is a fictional character in the film "Elf," known as the long-lost biological mother of Buddy the Elf.
  • C. Susan Holbrook
    Susan Holbrook is a Canadian poet and writer known for her innovative, playful approach to language and experimental forms.
  • D. Susan Blanchard
    Susan Blanchard is an American socialite and former Broadway production assistant best known as the third wife of actor Henry Fonda.
  • E. Susan Applegate
    Susan Applegate is the adult woman who disguises herself as a twelve-year-old girl to obtain a cheaper train fare in the classic 1942 Billy Wilder comedy film "The Major and the Minor."
  • 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_69ca8315a1a08190ab310f25620f362b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd4f3a988190892cc698109be8b8 completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26aaa38188190aed8c18eccd8a79d completed April 5, 2026, 1:59 p.m.
NEDg Description generation batch_69d26b84271881909c3a1b8a05e2c8a2 completed April 5, 2026, 2:02 p.m.
NED2 Entity disambiguation (via description) batch_69d26f50dc008190866f0ba45b671560 completed April 5, 2026, 2:18 p.m.
Created at: March 30, 2026, 8:53 p.m.