Triple

T5214348
Position Surface form Disambiguated ID Type / Status
Subject Zoe Saldana E117712 entity
Predicate name P16 FINISHED
Object Zoe Saldana E117712 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: Zoe Saldana | Statement: [Zoe Saldana, name, Zoe Saldana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zoe Saldana
Context triple: [Zoe Saldana, name, Zoe Saldana]
  • A. Zoe Saldana chosen
    Zoe Saldana is an American actress known for her prominent roles in major science fiction and fantasy franchises, including Star Trek, Avatar, and the Marvel Cinematic Universe.
  • B. Kate Mara
    Kate Mara is an American actress known for her roles in films like "The Martian" and "Brokeback Mountain" and TV series such as "House of Cards."
  • C. Ashley Johnson
    Ashley Johnson is an American actress and voice actress known for her roles in television, film, and video games, including voicing Ellie in "The Last of Us" series.
  • D. Kelly Marie Tran
    Kelly Marie Tran is an American actress best known for playing Rose Tico in the Star Wars sequel trilogy and voicing the title character in Disney’s animated film Raya and the Last Dragon.
  • E. Daisy Ridley
    Daisy Ridley is an English actress best known for portraying Rey in the Star Wars sequel trilogy and for roles in films such as Murder on the Orient Express (2017).
  • 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_69bd4464ba3c8190bc16b2ebbe42ddb0 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a911d40819086621537274dc0f0 completed March 20, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefe325988190b35e3502f147c9c2 completed March 21, 2026, 7:22 p.m.
Created at: March 20, 2026, 1:47 p.m.