Triple

T13831117
Position Surface form Disambiguated ID Type / Status
Subject The Adam Project E332399 entity
Predicate starring P1507 FINISHED
Object Zoe Saldaña 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 Saldaña | Statement: [The Adam Project, starring, Zoe Saldaña]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zoe Saldaña
Context triple: [The Adam Project, starring, Zoe Saldaña]
  • 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. Carrie Snodgress
    Carrie Snodgress was an American actress best known for her Oscar-nominated role in "Diary of a Mad Housewife" and her work in film and television during the 1970s and 1980s.
  • 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. Úrsula Corberó
    Úrsula Corberó is a Spanish actress best known internationally for her role as Tokyo in the hit television series "Money Heist."
  • E. Morena Baccarin
    Morena Baccarin is a Brazilian-American actress known for her roles in television series such as "Homeland," "Firefly," and "Gotham," as well as the "Deadpool" film franchise.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0299334481908c2b271eaf06e4b7 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8ebf2608190b1071ee6967fa8d3 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:13 p.m.