Triple

T21848569
Position Surface form Disambiguated ID Type / Status
Subject Raising Dad E539440 entity
Predicate starring P1507 FINISHED
Object Meagan Good 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: Meagan Good | Statement: [Raising Dad, starring, Meagan Good]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meagan Good
Context triple: [Raising Dad, starring, Meagan Good]
  • A. Meagan Good chosen
    Meagan Good is an American actress known for her work in film and television, particularly in romantic comedies and dramas.
  • B. Melonie Diaz
    Melonie Diaz is an American actress known for her work in independent films and television, including prominent roles in projects like "Fruitvale Station" and the "Charmed" reboot.
  • C. Deva Cassel
    Deva Cassel is an Italian model and emerging actress, known as the daughter of Monica Bellucci and Vincent Cassel.
  • D. Lauren Boyle
    Lauren Boyle is a New Zealand freestyle swimmer and multiple World Championship medallist known for her success in middle- and long-distance events.
  • E. Yeardley Smith
    Yeardley Smith is an American actress and voice actress best known for voicing Lisa Simpson on the long-running animated television series "The Simpsons."
  • 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_69e0c476c3c88190a92d08ebb59a128a completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0bd56f4e081909a906b64c1019e6a completed April 28, 2026, 1:59 p.m.
Created at: April 16, 2026, 6:55 p.m.