Triple

T31411996
Position Surface form Disambiguated ID Type / Status
Subject Rich People Problems (film adaptation) E801291 entity
Predicate featuresEthnicContext P121266 FINISHED
Object Chinese Singaporean culture LITERAL 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: Chinese Singaporean culture | Statement: [Rich People Problems (film adaptation), featuresEthnicContext, Chinese Singaporean culture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuresEthnicContext
Context triple: [Rich People Problems (film adaptation), featuresEthnicContext, Chinese Singaporean culture]
  • A. depictsEthnicContext
    Indicates that one entity visually represents or portrays the ethnic background, identity, or cultural context associated with another entity.
  • B. hasEthnolinguisticContext
    Indicates that something is associated with, shaped by, or understood within a specific ethnolinguistic (cultural and language-based) context.
  • C. sharesEthnicity
    Indicates that two entities belong to the same ethnic group or share the same ethnic background.
  • D. hasEthnographicContext chosen
    Indicates that something is associated with, or situated within, a particular ethnographic setting, culture, or sociocultural context.
  • E. holderEthnicity
    Indicates the ethnic background or group to which the holder of something (e.g., a document, account, or item) belongs.
  • F. None of above.

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_69f348c0dd648190bf2fd7642f78eb06 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_6a007899cadc8190a04edd503eaf6514 completed May 10, 2026, 12:22 p.m.
PD Predicate disambiguation batch_6a0078493e088190b0c5047cbe75d304 completed May 10, 2026, 12:21 p.m.
Created at: April 30, 2026, 8:39 p.m.