Triple

T9789495
Position Surface form Disambiguated ID Type / Status
Subject Scream VI E237570 entity
Predicate stars P1956 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: [Scream VI, stars, Jenna Ortega]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jenna Ortega
Context triple: [Scream VI, stars, 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 (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_69ca84da927881909bda80caecad6010 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_69d1cc4e30bc81909b1dce4a0cc69991 completed April 5, 2026, 2:43 a.m.
Created at: March 30, 2026, 8:27 p.m.