Triple

T8153453
Position Surface form Disambiguated ID Type / Status
Subject Serena Ryder E190385 entity
Predicate name P16 FINISHED
Object Serena Ryder E190385 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: Serena Ryder | Statement: [Serena Ryder, name, Serena Ryder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serena Ryder
Context triple: [Serena Ryder, name, Serena Ryder]
  • A. Serena Ryder chosen
    Serena Ryder is a Canadian singer-songwriter known for her soulful vocals and genre-blending folk, rock, and pop music.
  • B. Serena Southerlyn
    Serena Southerlyn is a fictional Assistant District Attorney on the long-running television series "Law & Order," known for her idealism and strong moral convictions in prosecuting cases.
  • C. Serena
    Serena was a prominent noblewoman of the late Western Roman Empire, known as the influential wife of the powerful general Stilicho and a member of the imperial Theodosian dynasty.
  • D. Serena
    Serena is a central character in George Gershwin's opera "Porgy and Bess," known as a strong, devout woman who provides emotional and moral support within the Catfish Row community.
  • E. Serena Joy Waterford
    Serena Joy Waterford is the strict, embittered Wife of a high-ranking Commander in Margaret Atwood’s "The Handmaid’s Tale," known for her complicity in and enforcement of Gilead’s oppressive regime.
  • 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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb44d566b08190a6bb672f9c368806 completed March 31, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf0518688190b519fbe1823b95c2 completed April 1, 2026, 6:45 a.m.
Created at: March 30, 2026, 5:37 p.m.