Triple

T11136269
Position Surface form Disambiguated ID Type / Status
Subject Naomi Ackie E263419 entity
Predicate portrayedCharacter P1668 FINISHED
Object Alicia E823192 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: Alicia | Statement: [Naomi Ackie, portrayedCharacter, Alicia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alicia
Context triple: [Naomi Ackie, portrayedCharacter, Alicia]
  • A. Alicia
    Alicia is the given name of the American singer, songwriter, and pianist Alicia Keys, known for her soulful R&B music and powerful vocals.
  • B. Alicia chosen
    Alicia is a fictional character associated with the entity or concept known as "The Lonely."
  • C. Arielle
    Arielle is a given name shared by various individuals, including Arielle Zuckerberg, a venture capitalist and younger sister of Meta co-founder Mark Zuckerberg.
  • D. Aliza
    Aliza is a feminine given name, often considered a variant of Eliza and used in various cultures with meanings related to joy or nobility.
  • E. Elicia
    Elicia is a secondary character in the Spanish tragicomedy "La Celestina," depicted as a young prostitute and companion of Celestina who contributes to the work’s themes of desire, greed, and social corruption.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e85daddc8190a1ae2a4a75cc8d50 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441fa286881909a8279a8ea6944e7 completed April 19, 2026, 2:46 a.m.
Created at: April 8, 2026, 9:28 p.m.