Triple

T12627614
Position Surface form Disambiguated ID Type / Status
Subject Princess Alexandra, The Honourable Lady Ogilvy E301556 entity
Predicate givenName P17 FINISHED
Object Helen
Helen is the given first name of Princess Alexandra, The Honourable Lady Ogilvy, a member of the British royal family.
E992422 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: Helen | Statement: [Princess Alexandra, The Honourable Lady Ogilvy, givenName, Helen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helen
Context triple: [Princess Alexandra, The Honourable Lady Ogilvy, givenName, Helen]
  • A. Helen
    Helen is a central character in Ernest Hemingway’s short story “The Snows of Kilimanjaro,” portrayed as the wealthy, devoted wife and companion of the writer Harry during his final, reflective days in Africa.
  • B. Helen
    Helen is the given name of H. T. Lowe-Porter, the American translator best known for bringing Thomas Mann’s works into English.
  • C. Helen
    Helen is the daring, quick-thinking heroine of the early 20th-century silent film serial "The Hazards of Helen," known for her action-packed, stunt-filled adventures.
  • D. Helen
    Helen is a figure from Greek mythology famed for her extraordinary beauty, whose abduction by Paris sparked the Trojan War.
  • 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. 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: Helen
Triple: [Princess Alexandra, The Honourable Lady Ogilvy, givenName, Helen]
Generated description
Helen is the given first name of Princess Alexandra, The Honourable Lady Ogilvy, a member of the British royal family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Helen
Target entity description: Helen is the given first name of Princess Alexandra, The Honourable Lady Ogilvy, a member of the British royal family.
  • A. Helen
    Helen is the given first name of Violet Bonham Carter, a prominent British Liberal politician and orator of the 20th century.
  • B. Helen
    Helen is the given first name of the British philosopher and life peer Mary Warnock.
  • C. Helen
    Helen is a feminine given name of Greek origin, traditionally associated with beauty and light and popular in many English-speaking countries.
  • D. Helen
    Helen is the given name of Maria Helen Van Schaack, likely used as her primary personal name.
  • E. Helen
    Helen is the given first name of New Zealand actress Pat Evison, known for her work in film, television, and theatre.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9610b91dc8190a9abefb88447b0ae completed April 10, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65edafc7c819088bd641542a32e39 completed May 2, 2026, 8:30 p.m.
NEDg Description generation batch_69f660bc541c8190a4d1d7a4cc959ecf completed May 2, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_69f6617997188190bfce14c54619af7f completed May 2, 2026, 8:41 p.m.
Created at: April 9, 2026, 5:14 p.m.