Triple

T20296546
Position Surface form Disambiguated ID Type / Status
Subject The Girl and Her Trust E505366 entity
Predicate screenwriter P2831 FINISHED
Object George Hennessy
George Hennessy was a screenwriter active during the early 20th century silent film era.
 E1422515 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: George Hennessy | Statement: [The Girl and Her Trust, screenwriter, George Hennessy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: George Hennessy
Context triple: [The Girl and Her Trust, screenwriter, George Hennessy]
  • A. George Hennessy
    George Hennessy was a British Conservative politician who served as a Member of Parliament in the early 20th century.
  • B. Richard Hennessy
    Richard Hennessy was an Irish officer and entrepreneur who founded the renowned French cognac house Hennessy in the 18th century.
  • C. William Grant Sherry
    William Grant Sherry was an American artist and World War II veteran best known as the third husband of actress Bette Davis.
  • D. William Grant
    William Grant was an architect and landscape designer known for his role in shaping the modern layout and features of New York City's Madison Square Park.
  • E. Arthur Phillip Stitzel
    Arthur Phillip Stitzel was an American distiller best known as a co-founder and namesake of the influential Stitzel-Weller bourbon distillery.
  • 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: George Hennessy
Triple: [The Girl and Her Trust, screenwriter, George Hennessy]
Generated description
George Hennessy was a screenwriter active during the early 20th century silent film era.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: George Hennessy
Target entity description: George Hennessy was a screenwriter active during the early 20th century silent film era.
  • A. George Hennessy
    George Hennessy was a British Conservative politician who served as a Member of Parliament in the early 20th century.
  • B. Richard Hennessy
    Richard Hennessy was an Irish officer and entrepreneur who founded the renowned French cognac house Hennessy in the 18th century.
  • C. William Grant Sherry
    William Grant Sherry was an American artist and World War II veteran best known as the third husband of actress Bette Davis.
  • D. William Grant
    William Grant was an architect and landscape designer known for his role in shaping the modern layout and features of New York City's Madison Square Park.
  • E. Arthur Phillip Stitzel
    Arthur Phillip Stitzel was an American distiller best known as a co-founder and namesake of the influential Stitzel-Weller bourbon distillery.
  • 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_69e0b4b8ab648190906e18538c250148 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67707f770819093742d7509fe9bdd completed April 20, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a085a32754c8190a5370068e15e907b completed May 16, 2026, 11:51 a.m.
NEDg Description generation batch_6a085ac5b5f4819083c4d12e9cabc758 completed May 16, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_6a085bc0781c81909fc53a83291badc0 completed May 16, 2026, 11:57 a.m.
Created at: April 16, 2026, 11:15 a.m.