Triple

T11900107
Position Surface form Disambiguated ID Type / Status
Subject Side Effects E283126 entity
Predicate musicVideoPerformer P1152 FINISHED
Object Camila Mendes E600916 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: Camila Mendes | Statement: [Side Effects, musicVideoPerformer, Camila Mendes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camila Mendes
Context triple: [Side Effects, musicVideoPerformer, Camila Mendes]
  • A. Camila Mendes chosen
    Camila Mendes is an American actress best known for playing Veronica Lodge on the television series "Riverdale."
  • B. Mayan Lopez
    Mayan Lopez is an American actress and producer, best known for starring alongside her father in the NBC comedy series "Lopez vs Lopez."
  • C. Camilla Luddington
    Camilla Luddington is an English actress best known for playing Dr. Jo Wilson on the television series "Grey's Anatomy" and voicing Lara Croft in the "Tomb Raider" video game franchise.
  • D. Vanessa Diaz
    Vanessa Diaz is a fictional character from the television series "Six Feet Under," known as the strong-willed and resilient wife of Federico Diaz.
  • E. Juliana Awada
    Juliana Awada is an Argentine businesswoman and former First Lady of Argentina, known for her role during Mauricio Macri’s presidency and her influence in fashion and social causes.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8dd16433881909befca9774bdaab4 completed April 10, 2026, 11:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f4182f18c08190b22706b024d60dd7 completed May 1, 2026, 3:04 a.m.
Created at: April 8, 2026, 9:44 p.m.