Triple

T22273097
Position Surface form Disambiguated ID Type / Status
Subject Paula Jai Parker E550527 entity
Predicate notableWork P4 FINISHED
Object Family Time NE NERFINISHED

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: Family Time | Statement: [Paula Jai Parker, notableWork, Family Time]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Family Time
Context triple: [Paula Jai Parker, notableWork, Family Time]
  • A. Family Time chosen
    Family Time is an American sitcom that follows a working-class African American family navigating everyday life and relationships with humor and heart.
  • B. Family Time
    Family Time is a children's reggae album by Ziggy Marley that blends uplifting messages with playful, family-friendly songs.
  • C. Family
    "Family" is a studio album by American country singer LeAnn Rimes that explores personal themes through a blend of country and pop music.
  • D. Family
    Family is a 1970s–1980s American television drama series that follows the lives and relationships of the middle-class Lawrence family.
  • E. Familyhood
    Familyhood is a humorous and reflective essay collection by Paul Reiser that explores the joys, challenges, and absurdities of family life.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea547e4819098baf88f3c605242 completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.