Triple

T14235248
Position Surface form Disambiguated ID Type / Status
Subject Jett E352859 entity
Predicate hasCastMember P2308 FINISHED
Object Elena Anaya E205630 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: Elena Anaya | Statement: [Jett, hasCastMember, Elena Anaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elena Anaya
Context triple: [Jett, hasCastMember, Elena Anaya]
  • A. Elena Anaya chosen
    Elena Anaya is a Spanish actress known for her roles in both European cinema and Hollywood productions, including prominent performances in films like "The Skin I Live In."
  • B. Ana de Armas
    Ana de Armas is a Cuban-Spanish actress known for her breakout roles in films such as "Blade Runner 2049," "Knives Out," and "Blonde."
  • C. Chimene Diaz
    Chimene Diaz is the older sister of American actress Cameron Diaz and is a non-celebrity who has largely stayed out of the public spotlight.
  • D. Úrsula Corberó
    Úrsula Corberó is a Spanish actress best known internationally for her role as Tokyo in the hit television series "Money Heist."
  • E. Xochitl Gomez
    Xochitl Gomez is an American actress best known for playing the multiverse-traveling teen hero America Chavez in the Marvel Cinematic Universe.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de62411c888190a154acd56fe3fcaf completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd281da708819082f5aefb7ad7b30b completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:07 a.m.