Triple

T10491755
Position Surface form Disambiguated ID Type / Status
Subject Haggard E247436 entity
Predicate hasNotableBearer P458 FINISHED
Object Stephen Haggard
Stephen Haggard was a British actor and writer active in the 1930s and early 1940s, known for his stage and film roles before his death during World War II.
 E868800 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: Stephen Haggard | Statement: [Haggard, hasNotableBearer, Stephen Haggard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stephen Haggard
Context triple: [Haggard, hasNotableBearer, Stephen Haggard]
  • A. Paul Roberts
    Paul Roberts is known primarily as a former husband of acclaimed American actress Ellen Burstyn.
  • B. James Hagan
    James Hagan was an American playwright best known for writing the stage play that became the basis for the classic film "The Strawberry Blonde."
  • C. John Hadden
    John Hadden is a theater artist and director best known as a co-founder of the Shakespeare & Company theater troupe.
  • D. Philip Giffin
    Philip Giffin is a film and television composer known for his work on the series "Boomtown."
  • E. John Dunning
    John Dunning is a music producer best known for his work with the influential alternative rock band My Bloody Valentine.
  • 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: Stephen Haggard
Triple: [Haggard, hasNotableBearer, Stephen Haggard]
Generated description
Stephen Haggard was a British actor and writer active in the 1930s and early 1940s, known for his stage and film roles before his death during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stephen Haggard
Target entity description: Stephen Haggard was a British actor and writer active in the 1930s and early 1940s, known for his stage and film roles before his death during World War II.
  • A. Paul Roberts
    Paul Roberts is known primarily as a former husband of acclaimed American actress Ellen Burstyn.
  • B. James Hagan
    James Hagan was an American playwright best known for writing the stage play that became the basis for the classic film "The Strawberry Blonde."
  • C. John Hadden
    John Hadden is a theater artist and director best known as a co-founder of the Shakespeare & Company theater troupe.
  • D. Philip Giffin
    Philip Giffin is a film and television composer known for his work on the series "Boomtown."
  • E. John Dunning
    John Dunning is a music producer best known for his work with the influential alternative rock band My Bloody Valentine.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097e1c888190bc8e039f2e46181e completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90dd040f48190a645ebd131f9205c completed April 10, 2026, 2:48 p.m.
NEDg Description generation batch_69d911dd4198819089585462af6b5ef5 completed April 10, 2026, 3:06 p.m.
NED2 Entity disambiguation (via description) batch_69d9126254408190a79ea571649416f6 completed April 10, 2026, 3:08 p.m.
Created at: April 6, 2026, 12:24 p.m.