Triple

T8129638
Position Surface form Disambiguated ID Type / Status
Subject Yes Day E189821 entity
Predicate castMember P1668 FINISHED
Object Jenna Ortega E504674 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: Jenna Ortega | Statement: [Yes Day, castMember, Jenna Ortega]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jenna Ortega
Context triple: [Yes Day, castMember, Jenna Ortega]
  • A. Jenna Ortega chosen
    Jenna Ortega is an American actress best known for her lead role as Wednesday Addams in the Netflix series "Wednesday," as well as for her work in various film and television projects.
  • B. 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.
  • C. 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."
  • D. Lana Condor
    Lana Condor is a Vietnamese-American actress best known for starring as Lara Jean Covey in the Netflix film series "To All the Boys I've Loved Before."
  • E. Zoey Deutch
    Zoey Deutch is an American actress known for her roles in films such as "Before I Fall," "Set It Up," and "Zombieland: Double Tap."
  • 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_69ca82bcb4848190a9a9d036ad768642 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43b6b4dc8190be237e6dd21c863b completed March 31, 2026, 3:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc947a7354819088c6f3cc6ab677cf completed April 1, 2026, 3:43 a.m.
Created at: March 30, 2026, 5:34 p.m.