Triple

T13721467
Position Surface form Disambiguated ID Type / Status
Subject Rina E329046 entity
Predicate shortFor P43 FINISHED
Object Sabrina E603383 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: Sabrina | Statement: [Rina, shortFor, Sabrina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sabrina
Context triple: [Rina, shortFor, Sabrina]
  • A. Sabrina
    Sabrina is a classic 1954 romantic comedy film directed by Billy Wilder, starring Audrey Hepburn, Humphrey Bogart, and William Holden in a Cinderella-like tale of love and transformation.
  • B. Sabrina
    Sabrina is the granddaughter of Iris Chase, a central character in Margaret Atwood’s novel "The Blind Assassin."
  • C. Sabrina chosen
    Sabrina is a feminine given name of Latin origin meaning "from the River Severn," used in various cultures around the world.
  • D. Sabrina Fair
    Sabrina Fair is a romantic comedy play by Samuel Taylor that inspired the classic Audrey Hepburn film "Sabrina."
  • E. Sabrina Le Beauf
    Sabrina Le Beauf is an American actress best known for playing Sondra Huxtable on the hit television sitcom "The Cosby Show."
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f3b46481909ceedfa78e9ca92b completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d5e1ecc8190a9fec550a99702c0 completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:55 p.m.