Triple

T14921439
Position Surface form Disambiguated ID Type / Status
Subject Nicki Marron E371518 entity
Predicate portrayedBy P1507 FINISHED
Object Michele Lamar Richards E34736 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: Michele Lamar Richards | Statement: [Nicki Marron, portrayedBy, Michele Lamar Richards]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michele Lamar Richards
Context triple: [Nicki Marron, portrayedBy, Michele Lamar Richards]
  • A. Michele Lamar Richards chosen
    Michele Lamar Richards is an American actress best known for her supporting role in the 1992 romantic thriller film "The Bodyguard."
  • B. Michele Bullock
    Michele Bullock is an Australian economist and central banker who serves as the Governor of the Reserve Bank of Australia, overseeing the country’s monetary policy.
  • C. Jamal Jeffries
    Jamal Jeffries is the fictional basketball player who disguises himself as a woman to continue his career in the sports comedy film "Juwanna Mann."
  • D. Clifton Powell
    Clifton Powell is an American character actor known for his prolific work in film and television, often portraying intense, streetwise, or authoritative supporting roles.
  • E. Lamar Taylor
    Lamar Taylor is a songwriter best known for his work on contemporary R&B and hip-hop tracks, including contributions to major hits like Usher's "Love in This Club."
  • 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_69d85cc7ea3481908228b5acb7d06f12 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded63121e48190b54eb2546acc3c93 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72c141088190936f2fd53fee80e4 completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 2:34 a.m.