Triple

T4948099
Position Surface form Disambiguated ID Type / Status
Subject On Famous Women E111099 entity
Predicate notableFigureProfiled P20309 FINISHED
Object Helen of Troy E24191 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: Helen of Troy | Statement: [On Famous Women, notableFigureProfiled, Helen of Troy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helen of Troy
Context triple: [On Famous Women, notableFigureProfiled, Helen of Troy]
  • A. Helen of Troy chosen
    Helen of Troy is a legendary figure from Greek mythology renowned as the most beautiful woman in the world, whose abduction by Paris sparked the Trojan War.
  • B. Athénaïs
    Athénaïs was the familiar name of Madame de Montespan, the influential chief mistress of King Louis XIV of France and a prominent figure at the 17th-century French court.
  • C. Helen
    Helen is the given first name of Violet Bonham Carter, a prominent British Liberal politician and orator of the 20th century.
  • D. Helen
    Helen is the birth name of Beatrix Potter, the renowned English writer and illustrator best known for her children's books featuring animal characters such as Peter Rabbit.
  • E. Helen
    Helen is a central survivor and maternal figure in the post-apocalyptic film "Waterworld," known for her determination to protect the child Enola and seek the mythical Dryland.
  • 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_69bd441721cc819085c7e33fe0876818 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd716520f08190862249efb2058fd4 completed March 20, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77ca47b481909de9b270f2a2a7af completed March 21, 2026, 10:49 a.m.
Created at: March 20, 2026, 1:31 p.m.