Triple

T2953506
Position Surface form Disambiguated ID Type / Status
Subject All That Heaven Allows E79876 entity
Predicate screenwriter P2831 FINISHED
Object Peg Fenwick
Peg Fenwick was an American screenwriter best known for her work on mid-20th-century Hollywood melodramas.
E383192 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: Peg Fenwick | Statement: [All That Heaven Allows, screenwriter, Peg Fenwick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peg Fenwick
Context triple: [All That Heaven Allows, screenwriter, Peg Fenwick]
  • A. June Mulgrew
    June Mulgrew is a New Zealand woman best known as the second wife of famed mountaineer Sir Edmund Hillary.
  • B. Fay Holden
    Fay Holden was a British-born American actress best known for playing Mrs. Emily Hardy, the mother in the popular Andy Hardy film series of the 1930s and 1940s.
  • C. Barbara Hancock
    Barbara Hancock is an American actress and dancer best known for her role in the 1968 musical fantasy film "Finian's Rainbow."
  • D. Marjorie Bowes
    Marjorie Bowes was the English wife of Scottish Reformation leader John Knox, known primarily through her marriage into the prominent Protestant reformer’s life and circle.
  • E. Phyllis Coates
    Phyllis Coates is an American actress best known for playing Lois Lane in the early 1950s Superman film and television adaptations.
  • 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: Peg Fenwick
Triple: [All That Heaven Allows, screenwriter, Peg Fenwick]
Generated description
Peg Fenwick was an American screenwriter best known for her work on mid-20th-century Hollywood melodramas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Peg Fenwick
Target entity description: Peg Fenwick was an American screenwriter best known for her work on mid-20th-century Hollywood melodramas.
  • A. June Mulgrew
    June Mulgrew is a New Zealand woman best known as the second wife of famed mountaineer Sir Edmund Hillary.
  • B. Fay Holden
    Fay Holden was a British-born American actress best known for playing Mrs. Emily Hardy, the mother in the popular Andy Hardy film series of the 1930s and 1940s.
  • C. Barbara Hancock
    Barbara Hancock is an American actress and dancer best known for her role in the 1968 musical fantasy film "Finian's Rainbow."
  • D. Marjorie Bowes
    Marjorie Bowes was the English wife of Scottish Reformation leader John Knox, known primarily through her marriage into the prominent Protestant reformer’s life and circle.
  • E. Phyllis Coates
    Phyllis Coates is an American actress best known for playing Lois Lane in the early 1950s Superman film and television adaptations.
  • 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_69ad8b1276588190a374a0b12e0f7bdf completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98fe4b688190a0f68c4f80cd6f8f completed March 8, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4dae657ec81909e8a99e4ccd95bfc completed March 14, 2026, 3:49 a.m.
NEDg Description generation batch_69b4db5f1c0881909a9696a727fac5d4 completed March 14, 2026, 3:51 a.m.
NED2 Entity disambiguation (via description) batch_69b4dc1f3cc48190b1b53bc88a0c3577 completed March 14, 2026, 3:55 a.m.
Created at: March 8, 2026, 2:57 p.m.