Triple

T20554224
Position Surface form Disambiguated ID Type / Status
Subject Jenna Ortega E504674 entity
Predicate name P16 FINISHED
Object Jenna Ortega NE NERFINISHED

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: [Jenna Ortega, name, Jenna Ortega]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jenna Ortega
Context triple: [Jenna Ortega, name, 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. Melissa Barrera
    Melissa Barrera is a Mexican actress and singer best known internationally for her leading roles in the horror franchise Scream and the musical film In the Heights.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b52c048190952b4d0f430813a3 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a5dbe96c8190a278dfefdb4a5c43 completed April 20, 2026, 10:17 p.m.
Created at: April 16, 2026, 11:38 a.m.