Triple

T14691255
Position Surface form Disambiguated ID Type / Status
Subject Lowriders E345038 entity
Predicate castMember P1668 FINISHED
Object Melissa Benoist E820488 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: Melissa Benoist | Statement: [Lowriders, castMember, Melissa Benoist]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melissa Benoist
Context triple: [Lowriders, castMember, Melissa Benoist]
  • A. Melissa Benoist chosen
    Melissa Benoist is an American actress and singer best known for her lead role on the TV series "Supergirl" and her breakout performance in the film "Whiplash."
  • B. Lauren Cohan
    Lauren Cohan is an American-British actress best known for playing Maggie Greene on the television series "The Walking Dead."
  • C. Caity Lotz
    Caity Lotz is an American actress, dancer, and director best known for her role as Sara Lance/White Canary in the Arrowverse television series, particularly DC's Legends of Tomorrow.
  • D. Dorian Missick
    Dorian Missick is an American actor known for his work in film and television, including roles in series like "Six Degrees" and "Lucky Number Slevin."
  • E. Jessica Capshaw
    Jessica Capshaw is an American actress best known for her role as Dr. Arizona Robbins on the television series "Grey's Anatomy."
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb585d46c81908d6964130914cec4 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde18b4bdc8190b5daf05484de7cd8 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:28 a.m.