Triple

T5752228
Position Surface form Disambiguated ID Type / Status
Subject I'm Just Ken E126878 entity
Predicate basedOnCharacter P2004 FINISHED
Object Ken (Barbie character) E543897 NE FINISHED

How this triple was built (2 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: Ken (Barbie character) | Statement: [I'm Just Ken, basedOnCharacter, Ken (Barbie character)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ken (Barbie character)
Context triple: [I'm Just Ken, basedOnCharacter, Ken (Barbie character)]
  • A. Ken (in Barbie) chosen
    Ken (in Barbie) is a charismatic, competitive version of Barbie’s male counterpart as portrayed by Simu Liu in the 2023 live-action film.
  • B. Barbie
    Barbie is a 2023 fantasy-comedy film directed by Greta Gerwig that reimagines the iconic Mattel doll in a satirical, self-aware story exploring gender roles, identity, and consumer culture.
  • C. 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.
  • D. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • E. Barbara
    Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c097ffbf848190ba20a72c676d2c8e completed March 23, 2026, 1:31 a.m.
Created at: March 22, 2026, 3:48 p.m.