Triple

T22159278
Position Surface form Disambiguated ID Type / Status
Subject Hobson's Choice E547624 entity
Predicate castMember P1668 FINISHED
Object Helen Haye
Helen Haye was a British stage and film actress known for her character roles in early 20th-century theatre and cinema.
E1521739 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 Haye | Statement: [Hobson's Choice, castMember, Helen Haye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helen Haye
Context triple: [Hobson's Choice, castMember, Helen Haye]
  • A. Helene Evans
    Helene Evans is known as the wife of American football wide receiver Mike Evans.
  • B. Anna Hardie
    Anna Hardie is a central fictional character in Ali Smith’s novel "There But For The," around whom much of the story’s emotional and thematic exploration revolves.
  • C. Helen Gilbert
    Helen Gilbert was an American actress and singer active in the 1930s and 1940s, known for her roles in Hollywood films and musical performances.
  • D. Helen Gibbins
    Helen Gibbins is an individual whose specific public background or notable achievements are not clearly identifiable from the available information.
  • E. Helen Gibbins
    Helen Gibbins is the longtime wife of British comedian, actor, and writer Michael Palin, known for their enduring marriage that began before his Monty Python fame.
  • 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 Haye
Triple: [Hobson's Choice, castMember, Helen Haye]
Generated description
Helen Haye was a British stage and film actress known for her character roles in early 20th-century theatre and cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Helen Haye
Target entity description: Helen Haye was a British stage and film actress known for her character roles in early 20th-century theatre and cinema.
  • A. Helene Evans
    Helene Evans is known as the wife of American football wide receiver Mike Evans.
  • B. Anna Hardie
    Anna Hardie is a central fictional character in Ali Smith’s novel "There But For The," around whom much of the story’s emotional and thematic exploration revolves.
  • C. Helen Gilbert
    Helen Gilbert was an American actress and singer active in the 1930s and 1940s, known for her roles in Hollywood films and musical performances.
  • D. Helen Gibbins
    Helen Gibbins is the longtime wife of British comedian, actor, and writer Michael Palin, known for their enduring marriage that began before his Monty Python fame.
  • E. Helen Gibbins
    Helen Gibbins is an individual whose specific public background or notable achievements are not clearly identifiable from the available information.
  • 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_69e11e3c4c5c81908d336165816b12e0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a2b5b10819090630fbadacb67af completed April 28, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a970eca1081909e9927541a961961 completed May 18, 2026, 4:35 a.m.
NEDg Description generation batch_6a0a977e9df08190a465d0005fccad4e completed May 18, 2026, 4:37 a.m.
NED2 Entity disambiguation (via description) batch_6a0a97f868188190a2b1286bc3751e54 completed May 18, 2026, 4:39 a.m.
Created at: April 16, 2026, 8:33 p.m.