Triple

T10682391
Position Surface form Disambiguated ID Type / Status
Subject Cake (2014 film) E251789 entity
Predicate starring P1507 FINISHED
Object Jennifer Aniston E74778 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: Jennifer Aniston | Statement: [Cake (2014 film), starring, Jennifer Aniston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jennifer Aniston
Context triple: [Cake (2014 film), starring, Jennifer Aniston]
  • A. Jennifer Aniston chosen
    Jennifer Aniston is an American actress and producer best known for her role as Rachel Green on the television sitcom "Friends" and for starring in numerous successful comedy films.
  • B. Reese Witherspoon
    Reese Witherspoon is an American actress and producer known for her versatile roles in film and television, including "Legally Blonde," "Walk the Line," and "Big Little Lies."
  • C. Katherine Heigl
    Katherine Heigl is an American actress and former fashion model best known for her roles in the television series "Grey's Anatomy" and various romantic comedy films.
  • D. Kaley Cuoco
    Kaley Cuoco is an American actress best known for her comedic television roles, particularly as Penny on the hit sitcom "The Big Bang Theory."
  • E. Julia Roberts
    Julia Roberts is an Academy Award–winning American actress renowned for her leading roles in films such as "Pretty Woman," "Erin Brockovich," and numerous other box-office hits.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fcc30be481909922844b539b622d completed April 9, 2026, 1:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9888cf7b481909de6a4fecb48cf4b completed April 10, 2026, 11:32 p.m.
Created at: April 8, 2026, 9:10 p.m.