Triple

T11694837
Position Surface form Disambiguated ID Type / Status
Subject Sally Marr E277965 entity
Predicate spouse P13 FINISHED
Object Myron Schneider
Myron Schneider was the husband of comedian and talent scout Sally Marr, who was best known as the mother and early mentor of Lenny Bruce.
E987436 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: Myron Schneider | Statement: [Sally Marr, spouse, Myron Schneider]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Myron Schneider
Context triple: [Sally Marr, spouse, Myron Schneider]
  • A. Ronald Schneider
    Ronald Schneider is a Dutch local politician who serves as the mayor of the municipality of Barendrecht in the Netherlands.
  • B. Robert Schrader
    Robert Schrader is a mathematical physicist best known for co-developing the Osterwalder–Schrader axioms, which provide a rigorous foundation for Euclidean quantum field theory.
  • C. Richard Schayer
    Richard Schayer was an American screenwriter prominent during the silent and early sound eras of Hollywood, contributing to numerous films across various genres.
  • D. Michael Wittenberg
    Michael Wittenberg was an investment adviser best known as the late husband of Broadway star Bernadette Peters.
  • E. Fred Schuler
    Fred Schuler is a cinematographer best known for his work on films such as the 1980 comedy "Stir Crazy."
  • 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: Myron Schneider
Triple: [Sally Marr, spouse, Myron Schneider]
Generated description
Myron Schneider was the husband of comedian and talent scout Sally Marr, who was best known as the mother and early mentor of Lenny Bruce.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Myron Schneider
Target entity description: Myron Schneider was the husband of comedian and talent scout Sally Marr, who was best known as the mother and early mentor of Lenny Bruce.
  • A. Ronald Schneider
    Ronald Schneider is a Dutch local politician who serves as the mayor of the municipality of Barendrecht in the Netherlands.
  • B. Robert Schrader
    Robert Schrader is a mathematical physicist best known for co-developing the Osterwalder–Schrader axioms, which provide a rigorous foundation for Euclidean quantum field theory.
  • C. Richard Schayer
    Richard Schayer was an American screenwriter prominent during the silent and early sound eras of Hollywood, contributing to numerous films across various genres.
  • D. Michael Wittenberg
    Michael Wittenberg was an investment adviser best known as the late husband of Broadway star Bernadette Peters.
  • E. Fred Schuler
    Fred Schuler is a cinematographer best known for his work on films such as the 1980 comedy "Stir Crazy."
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a47b9eb48190976a35e91e25b56b completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69f64b7aff4c8190ba879e6c5632bb97 completed May 2, 2026, 7:07 p.m.
NEDg Description generation batch_69f64f6a6c888190ad02f5f492df5d38 completed May 2, 2026, 7:24 p.m.
NED2 Entity disambiguation (via description) batch_69f6504b033c8190a31f49f2e59c6810 completed May 2, 2026, 7:28 p.m.
Created at: April 8, 2026, 9:40 p.m.