Triple

T3153952
Position Surface form Disambiguated ID Type / Status
Subject Meagan Good E65940 entity
Predicate birthName P65 FINISHED
Object Meagan Monique Good E65940 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: Meagan Monique Good | Statement: [Meagan Good, birthName, Meagan Monique Good]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meagan Monique Good
Context triple: [Meagan Good, birthName, Meagan Monique 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. Laiyah Shannon Brown
    Laiyah Shannon Brown is the daughter of American R&B singer Monica and former NBA player Shannon Brown.
  • C. Jennie Celeste Williams
    Jennie Celeste Williams was the mother of Alberta Williams King and the maternal grandmother of civil rights leader Martin Luther King Jr.
  • D. Heather Alicia Simms
    Heather Alicia Simms is an American actress known for her work in film, television, and theater, including a role in the series "Swarm."
  • E. Tiana Rogers
    Tiana Rogers was a Cherokee woman known for her marriage to Sam Houston, the American statesman and leader of the Republic of Texas.
  • 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5e7f4688190b477186254f8a572 completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235bf4a008190ba6264103a9d67b7 completed March 12, 2026, 3:40 a.m.
Created at: March 8, 2026, 3:05 p.m.