Triple

T13338341
Position Surface form Disambiguated ID Type / Status
Subject Payment on Demand E317756 entity
Predicate starring P1507 FINISHED
Object Dorothy Neumann
Dorothy Neumann was an American character actress known for her numerous supporting roles in mid-20th-century films and television.
E1103781 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: Dorothy Neumann | Statement: [Payment on Demand, starring, Dorothy Neumann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorothy Neumann
Context triple: [Payment on Demand, starring, Dorothy Neumann]
  • A. Dorothy Goetz
    Dorothy Goetz was the first wife of American composer Irving Berlin, remembered largely for her brief marriage and early death, which deeply influenced his later work.
  • B. Margaret Rudman
    Margaret Rudman is known as the wife of the late U.S. Senator Warren Rudman of New Hampshire.
  • C. Nancy Wintner
    Nancy Wintner was a screenwriter best known for contributing the story to the 1943 musical film "The Gang's All Here."
  • D. Dorothy C. Cressman
    Dorothy C. Cressman was the wife of American archaeologist and anthropologist Luther Cressman.
  • E. Dorothy Pecaut
    Dorothy Pecaut was a local conservation advocate and philanthropist whose support for environmental education and natural preservation led to a nature center being named in her honor.
  • 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: Dorothy Neumann
Triple: [Payment on Demand, starring, Dorothy Neumann]
Generated description
Dorothy Neumann was an American character actress known for her numerous supporting roles in mid-20th-century films and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dorothy Neumann
Target entity description: Dorothy Neumann was an American character actress known for her numerous supporting roles in mid-20th-century films and television.
  • A. Dorothy Goetz
    Dorothy Goetz was the first wife of American composer Irving Berlin, remembered largely for her brief marriage and early death, which deeply influenced his later work.
  • B. Margaret Rudman
    Margaret Rudman is known as the wife of the late U.S. Senator Warren Rudman of New Hampshire.
  • C. Nancy Wintner
    Nancy Wintner was a screenwriter best known for contributing the story to the 1943 musical film "The Gang's All Here."
  • D. Dorothy C. Cressman
    Dorothy C. Cressman was the wife of American archaeologist and anthropologist Luther Cressman.
  • E. Dorothy Pecaut
    Dorothy Pecaut was a local conservation advocate and philanthropist whose support for environmental education and natural preservation led to a nature center being named in her honor.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99d01bf8481908cd3a99e5557b972 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a2ae47881909e0e6c23473a9e1c completed May 8, 2026, 5:52 a.m.
NEDg Description generation batch_69fd7b9ffa8c81909b53143b119711d9 completed May 8, 2026, 5:58 a.m.
NED2 Entity disambiguation (via description) batch_69fd7bd58a6881908479b7608b7f1f3a completed May 8, 2026, 5:59 a.m.
Created at: April 9, 2026, 9:31 p.m.