Triple

T15750233
Position Surface form Disambiguated ID Type / Status
Subject Leopold Page E381824 entity
Predicate spouse P13 FINISHED
Object Mila Pfefferberg
Mila Pfefferberg was a Holocaust survivor known for her and her husband Leopold Page’s role in preserving and sharing the story of Oskar Schindler and the Jews he saved.
E1190105 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: Mila Pfefferberg | Statement: [Leopold Page, spouse, Mila Pfefferberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mila Pfefferberg
Context triple: [Leopold Page, spouse, Mila Pfefferberg]
  • A. Miriam Mendelsohn
    Miriam Mendelsohn is a loyal, upbeat, and supportive best friend of Mei Lee in Pixar's animated film "Turning Red."
  • B. Rivka Warhaftig
    Rivka Warhaftig was the wife of Israeli politician and religious Zionist leader Zerach Warhaftig.
  • C. Helene Shapiro
    Helene Shapiro is an American mathematician known for her work in linear algebra and matrix theory, and as a student of Olga Taussky-Todd.
  • D. Wanda Gershwitz
    Wanda Gershwitz is the seductive, cunning con artist at the center of the comedy film "A Fish Called Wanda," known for manipulating everyone around her to get her hands on stolen diamonds.
  • E. Maria Nuzberg
    Maria Nuzberg was the wife of Vasily Stalin, the son of Soviet leader Joseph Stalin.
  • 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: Mila Pfefferberg
Triple: [Leopold Page, spouse, Mila Pfefferberg]
Generated description
Mila Pfefferberg was a Holocaust survivor known for her and her husband Leopold Page’s role in preserving and sharing the story of Oskar Schindler and the Jews he saved.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mila Pfefferberg
Target entity description: Mila Pfefferberg was a Holocaust survivor known for her and her husband Leopold Page’s role in preserving and sharing the story of Oskar Schindler and the Jews he saved.
  • A. Miriam Mendelsohn
    Miriam Mendelsohn is a loyal, upbeat, and supportive best friend of Mei Lee in Pixar's animated film "Turning Red."
  • B. Rivka Warhaftig
    Rivka Warhaftig was the wife of Israeli politician and religious Zionist leader Zerach Warhaftig.
  • C. Helene Shapiro
    Helene Shapiro is an American mathematician known for her work in linear algebra and matrix theory, and as a student of Olga Taussky-Todd.
  • D. Wanda Gershwitz
    Wanda Gershwitz is the seductive, cunning con artist at the center of the comedy film "A Fish Called Wanda," known for manipulating everyone around her to get her hands on stolen diamonds.
  • E. Maria Nuzberg
    Maria Nuzberg was the wife of Vasily Stalin, the son of Soviet leader Joseph Stalin.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0502fd3608190b42e647b9c2b41a1 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf0bc4e88190be83324776b26df9 completed May 10, 2026, 12:19 a.m.
NEDg Description generation batch_69ffd2f2e66481908fb1d68c24ad0460 completed May 10, 2026, 12:36 a.m.
NED2 Entity disambiguation (via description) batch_69ffd3417ebc8190bcc84138c584f86a completed May 10, 2026, 12:37 a.m.
Created at: April 10, 2026, 4:47 a.m.