Triple

T6106225
Position Surface form Disambiguated ID Type / Status
Subject Rosa Diaz E136122 entity
Predicate hasFamilyBackground P13742 FINISHED
Object Cuban-American (implied via portrayal and series canon) 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: Cuban-American (implied via portrayal and series canon) | Statement: [Rosa Diaz, hasFamilyBackground, Cuban-American (implied via portrayal and series canon)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFamilyBackground
Context triple: [Rosa Diaz, hasFamilyBackground, Cuban-American (implied via portrayal and series canon)]
  • A. hasFamilyBackgroundIn chosen
    Indicates that an entity comes from, or is associated with, a particular familial or ancestral background.
  • B. hasLongtimePoliticalFamily
    Indicates that an entity has close family members who have been involved in politics for an extended period of time.
  • C. hasFamilyBranch
    Indicates that one entity is a subdivision, offshoot, or branch within the broader family group or lineage of another entity.
  • D. hasFounderBackground
    Indicates that an entity has a founder whose background (such as experience, education, or prior roles) matches a specified profile or characteristic.
  • E. hasFamilyPapers
    Indicates that one entity possesses or is associated with the family-related documents or archival papers of another entity.
  • 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b806bd48190b6f020af3391adb8 completed March 22, 2026, 9:13 p.m.
PD Predicate disambiguation batch_69c049f80e2081909b7d84a104cda68d completed March 22, 2026, 7:58 p.m.
Created at: March 22, 2026, 4:13 p.m.