Triple

T9330741
Position Surface form Disambiguated ID Type / Status
Subject Samuel Taylor E224514 entity
Predicate notableWork P4 FINISHED
Object Sabrina unclear NED1 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: [Samuel Taylor, notableWork, Sabrina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sabrina
Context triple: [Samuel Taylor, notableWork, 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
    Sabrina is a feminine given name of Latin origin meaning "from the River Severn," used in various cultures around the world.
  • D. Sabrina Le Beauf
    Sabrina Le Beauf is an American actress best known for playing Sondra Huxtable on the hit television sitcom "The Cosby Show."
  • E. Felicia
    Felicia is a feminine given name of Latin origin meaning "happy" or "fortunate," used in various cultures around the world.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69ca8427a0c08190b749831d5ea98f02 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd37ae4fcc81909be75d51e2dc455d completed April 1, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7fca954819086f695be973b227e completed April 4, 2026, 8:12 a.m.
Created at: March 30, 2026, 7:39 p.m.