Triple

T17836478
Position Surface form Disambiguated ID Type / Status
Subject Princess Lilian of Belgium E445400 entity
Predicate givenName P17 FINISHED
Object Mary
Mary is the given name of Princess Lilian of Belgium, a notable member of the Belgian royal family.
E1291534 NE FINISHED

How this triple was built (4 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: Mary | Statement: [Princess Lilian of Belgium, givenName, Mary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary
Context triple: [Princess Lilian of Belgium, givenName, Mary]
  • A. Mary
    Mary is the given name of Mary Jo Kopechne, the American political campaign specialist who died in the 1969 Chappaquiddick incident involving Senator Ted Kennedy.
  • B. Mary
    Mary is the middle name of Edith Tolkien, the wife of author J.R.R. Tolkien.
  • C. Mary
    Mary is the central protagonist of the play "The Memory of Water," around whom the story’s emotional and familial conflicts revolve.
  • D. Mary
    Mary is the birth name of American actress, comedian, and writer Lily Tomlin, known for her groundbreaking work in television, film, and theater.
  • E. Mary
    Mary is the given name of the American stage and film actress Josephine Hull, known for her roles in classic mid-20th-century theater and cinema.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mary
Triple: [Princess Lilian of Belgium, givenName, Mary]
Generated description
Mary is the given name of Princess Lilian of Belgium, a notable member of the Belgian royal family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mary
Target entity description: Mary is the given name of Princess Lilian of Belgium, a notable member of the Belgian royal family.
  • A. Mary
    Mary is one of the middle names of Princess Beatrice of York, a member of the British royal family.
  • B. Mary
    Mary is one of the given middle names of Lady Louise Windsor, a member of the British royal family.
  • C. Mary
    Mary is the given name of Lady Mary Butler, an aristocratic figure from the historically influential Butler family.
  • D. Mary
    Mary is the given name of Mary Anne Galton, a historical figure known primarily through her familial and biographical associations.
  • E. Mary
    Mary is one of the given middle names of Princess Estelle, Duchess of Östergötland, in the Swedish royal family.
  • F. None of above. chosen

Provenance (5 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d27f8908190bf48a8153756effa completed April 19, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0306f3b0b881909b460809ac3ada92 completed May 12, 2026, 10:54 a.m.
NEDg Description generation batch_6a030986606c819099a8ea86a3ef1c26 completed May 12, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_6a0309e9e0108190bc1f60ddacef20cc completed May 12, 2026, 11:07 a.m.
Created at: April 10, 2026, 10:16 a.m.