Triple

T23389117
Position Surface form Disambiguated ID Type / Status
Subject Goodbye World E593963 entity
Predicate character P662 FINISHED
Object Becky
Becky is a fictional character from the film "Goodbye World," which follows a group of friends navigating a societal collapse together.
E1585310 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: Becky | Statement: [Goodbye World, character, Becky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Becky
Context triple: [Goodbye World, character, Becky]
  • A. Becky
    Becky is a common English feminine given name, typically used as a diminutive of Rebecca.
  • B. Becky
    Becky is a character associated with the "Limbo" universe, likely serving as a notable figure or component within its narrative or structure.
  • C. Becky
    Becky is a character from Thomas More’s seminal political-philosophical work "Utopia," representing one of the figures through which the text explores idealized social and political structures.
  • D. Becky
    Becky is a free-spirited young woman in the film "What's Eating Gilbert Grape" who becomes Gilbert Grape's romantic interest and helps him envision a life beyond his small-town burdens.
  • E. Becky
    Becky is a character connected to Endora, likely appearing in the same fictional universe or storyline as her.
  • 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: Becky
Triple: [Goodbye World, character, Becky]
Generated description
Becky is a fictional character from the film "Goodbye World," which follows a group of friends navigating a societal collapse together.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Becky
Target entity description: Becky is a fictional character from the film "Goodbye World," which follows a group of friends navigating a societal collapse together.
  • A. Becky
    Becky is a character associated with the "Limbo" universe, likely serving as a notable figure or component within its narrative or structure.
  • B. Becky
    Becky is a free-spirited young woman in the film "What's Eating Gilbert Grape" who becomes Gilbert Grape's romantic interest and helps him envision a life beyond his small-town burdens.
  • C. Becky
    Becky is a character connected to Endora, likely appearing in the same fictional universe or storyline as her.
  • D. Becky
    Becky is a character from Thomas More’s seminal political-philosophical work "Utopia," representing one of the figures through which the text explores idealized social and political structures.
  • E. Becky
    Becky is a musical act known for its association with the British rock band Dogstar.
  • 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_69e25d2754fc819085deea939bde60ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a49a7c14819082aab826715976c5 completed April 29, 2026, 6:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c67905f40819097c13ade0c16c85e completed May 19, 2026, 1:37 p.m.
NEDg Description generation batch_6a0c7213e19881909151fe5c0560e096 completed May 19, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0c76c54ba08190be8f46bacb22b6a3 completed May 19, 2026, 2:42 p.m.
Created at: April 17, 2026, 5:35 p.m.