Triple

T4626415
Position Surface form Disambiguated ID Type / Status
Subject The Deep End of the Ocean E101107 entity
Predicate starring P1507 FINISHED
Object Alexa Vega E76784 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: Alexa Vega | Statement: [The Deep End of the Ocean, starring, Alexa Vega]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexa Vega
Context triple: [The Deep End of the Ocean, starring, Alexa Vega]
  • A. Alexa Vega chosen
    Alexa Vega is an American actress and singer best known for playing Carmen Cortez in the Spy Kids film series.
  • B. Alexa Davalos
    Alexa Davalos is an American actress known for her leading role as Juliana Crain in the television adaptation of Philip K. Dick's "The Man in the High Castle," as well as performances in films like "The Chronicles of Riddick" and "Defiance."
  • C. Alexa Havins
    Alexa Havins is an American actress best known for her work in television, including a starring role in the science fiction series "Torchwood."
  • D. Jossalyn Romo
    Jossalyn Romo is known as the sister of former Dallas Cowboys quarterback and NFL broadcaster Tony Romo.
  • E. Everly Carganilla
    Everly Carganilla is a young American child actress known for roles in film and television, including the Netflix series "The Chair."
  • 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_69bd43d0497c8190ac23c65c5804846a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a0a7b588190bc6552ee5babb198 completed March 20, 2026, 2:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfaab30508190881828adab92ba22 completed March 21, 2026, 1:55 a.m.
Created at: March 20, 2026, 1:13 p.m.