Triple

T5752012
Position Surface form Disambiguated ID Type / Status
Subject Gloria (Barbie 2023 character) E126874 entity
Predicate hasChild P369 FINISHED
Object Sasha (Barbie 2023 character)
Sasha is Gloria's skeptical and socially conscious teenage daughter in the 2023 film "Barbie," whose strained relationship with Barbie reflects contemporary critiques of beauty standards and consumer culture.
E543900 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: Sasha (Barbie 2023 character) | Statement: [Gloria (Barbie 2023 character), hasChild, Sasha (Barbie 2023 character)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sasha (Barbie 2023 character)
Context triple: [Gloria (Barbie 2023 character), hasChild, Sasha (Barbie 2023 character)]
  • A. Sasha
    Sasha is one of the costumed cougar mascots representing the University of Houston's athletic teams, the Houston Cougars.
  • B. Sasha
    Sasha is a common Russian diminutive form of the given name Alexander (and also Alexandra).
  • C. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • D. Barbara
    Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
  • E. Ava
    Ava was a prominent historical city and royal capital in Upper Burma (now Myanmar), serving as a major political and cultural center for several Burmese kingdoms.
  • 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: Sasha (Barbie 2023 character)
Triple: [Gloria (Barbie 2023 character), hasChild, Sasha (Barbie 2023 character)]
Generated description
Sasha is Gloria's skeptical and socially conscious teenage daughter in the 2023 film "Barbie," whose strained relationship with Barbie reflects contemporary critiques of beauty standards and consumer culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sasha (Barbie 2023 character)
Target entity description: Sasha is Gloria's skeptical and socially conscious teenage daughter in the 2023 film "Barbie," whose strained relationship with Barbie reflects contemporary critiques of beauty standards and consumer culture.
  • A. Sasha
    Sasha is one of the costumed cougar mascots representing the University of Houston's athletic teams, the Houston Cougars.
  • B. Sasha
    Sasha is a common Russian diminutive form of the given name Alexander (and also Alexandra).
  • C. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • D. Barbara
    Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
  • E. Ava
    Ava is a feminine given name most famously associated with American actress and Hollywood icon Ava Gardner.
  • 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_69c00832aedc81909899801b141fa3b4 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0288b580c81909e1289982b106695 completed March 22, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e3a50b88190a943b2d91d3c5b8e completed March 22, 2026, 11:41 p.m.
NEDg Description generation batch_69c0880ef8608190a602c7b9c7f753fb completed March 23, 2026, 12:23 a.m.
NED2 Entity disambiguation (via description) batch_69c088cff95481908a8e04e763269062 completed March 23, 2026, 12:26 a.m.
Created at: March 22, 2026, 3:48 p.m.