Triple

T9790073
Position Surface form Disambiguated ID Type / Status
Subject Dope E237583 entity
Predicate castMember P1668 FINISHED
Object Kiersey Clemons E162203 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: Kiersey Clemons | Statement: [Dope, castMember, Kiersey Clemons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiersey Clemons
Context triple: [Dope, castMember, Kiersey Clemons]
  • A. Kiersey Clemons chosen
    Kiersey Clemons is an American actress and singer known for her roles in films like "Dope" and "Hearts Beat Loud" and in television series such as "Transparent" and "Swarm."
  • B. Cady Groves
    Cady Groves was an American singer-songwriter known for her emotionally candid pop and country-influenced songs released in the late 2000s and 2010s.
  • C. Emily Kinney
    Emily Kinney is an American actress and singer best known for her role as Beth Greene on the television series "The Walking Dead."
  • D. Cady McClain
    Cady McClain is an American actress and director best known for her Emmy-winning roles on daytime soap operas, including All My Children and As the World Turns.
  • E. Autumn Reeser
    Autumn Reeser is an American actress best known for her television roles on series such as "The O.C.," "Entourage," and numerous Hallmark Channel movies.
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda214875481909f39e1d4dbac1fdb completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c42c9fe081908145911cad6723c2 completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:28 p.m.