Triple

T6208303
Position Surface form Disambiguated ID Type / Status
Subject Mary Jo Markey E138802 entity
Predicate workedOn P3 FINISHED
Object Felicity E137254 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: Felicity | Statement: [Mary Jo Markey, workedOn, Felicity]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Felicity
Context triple: [Mary Jo Markey, workedOn, Felicity]
  • A. Felicity chosen
    Felicity is an American television drama series that follows a young woman's personal and academic journey through college life in New York City.
  • B. Felicity Rose Hadley Jones
    Felicity Rose Hadley Jones is an English actress known for her roles in films such as "The Theory of Everything" and "Rogue One: A Star Wars Story."
  • C. Felicity Shagwell
    Felicity Shagwell is a fictional American CIA agent and Austin Powers’ glamorous, flirtatious partner in the spy-comedy film "Austin Powers: The Spy Who Shagged Me."
  • D. Felicia
    Felicia is a feminine given name of Latin origin meaning "happy" or "fortunate," used in various cultures around the world.
  • E. Annalise
    Annalise is a minor but pivotal character in John le Carré’s espionage novel "Smiley’s People," involved in the intricate web of intelligence and personal relationships surrounding George Smiley.
  • 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_69c008ada364819096c9e92c74d639b5 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062870d5881909b8d4e33ff31a907 completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f52829c81909bdd422cbb1eabf4 completed March 23, 2026, 4:50 p.m.
Created at: March 22, 2026, 4:21 p.m.