Triple

T8113723
Position Surface form Disambiguated ID Type / Status
Subject Marissa Ribisi E189418 entity
Predicate sibling P363 FINISHED
Object Giovanni Ribisi E35421 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: Giovanni Ribisi | Statement: [Marissa Ribisi, sibling, Giovanni Ribisi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giovanni Ribisi
Context triple: [Marissa Ribisi, sibling, Giovanni Ribisi]
  • A. Giovanni Ribisi chosen
    Giovanni Ribisi is an American actor known for his character roles in films like "Saving Private Ryan," "Avatar," and the TV series "Friends."
  • B. John Magaro
    John Magaro is an American actor known for his work in film, television, and theater, including notable roles in projects like "The Big Short," "First Cow," and various Broadway productions.
  • C. Aaron Eckhart
    Aaron Eckhart is an American actor best known for his roles in films such as "The Dark Knight," "Thank You for Smoking," and "Erin Brockovich."
  • D. Eric Dane
    Eric Dane is an American actor best known for his role as Dr. Mark Sloan on the television series "Grey's Anatomy."
  • E. John C. Reilly
    John C. Reilly is an American actor known for his versatile performances in both dramatic films and broad comedies, including roles in movies like "Chicago," "Boogie Nights," and "Step Brothers."
  • 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_69ca82baad008190ab2859712b9b1607 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb432f2a24819097be6ab9b03567bd completed March 31, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cebb05716c8190aec1ea8f0d01443a completed April 2, 2026, 6:52 p.m.
Created at: March 30, 2026, 5:32 p.m.