Triple

T9083973
Position Surface form Disambiguated ID Type / Status
Subject Andell Wilkerson E217702 entity
Predicate closeTo P350 FINISHED
Object Moesha Mitchell E763554 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: Moesha Mitchell | Statement: [Andell Wilkerson, closeTo, Moesha Mitchell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moesha Mitchell
Context triple: [Andell Wilkerson, closeTo, Moesha Mitchell]
  • A. Moesha Mitchell chosen
    Moesha Mitchell is the outspoken, intelligent teenage protagonist of the 1990s sitcom "Moesha," navigating family, friendships, and growing up in South Central Los Angeles.
  • B. Keshia Knight Pulliam
    Keshia Knight Pulliam is an American actress best known for her childhood role as Rudy Huxtable on the hit sitcom "The Cosby Show."
  • C. Yvette Mitchell
    Yvette Mitchell was an early 20th-century actress known for appearing in silent films such as the 1917 production "The Kingdom of Love."
  • D. Marlena Evans
    Marlena Evans is a long-running, iconic fictional psychiatrist and central heroine on the American soap opera "Days of Our Lives."
  • E. Monica Raymund
    Monica Raymund is an American actress best known for her television roles on series such as "Lie to Me" and "Chicago Fire."
  • 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc960b45fc8190adf4bdc41b103e86 completed April 1, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffe38f0048190a9fb15e73d9bcd50 completed April 3, 2026, 5:51 p.m.
Created at: March 30, 2026, 7:13 p.m.