Triple

T3974683
Position Surface form Disambiguated ID Type / Status
Subject Walter Schloss E85610 entity
Predicate spouse P13 FINISHED
Object Anna Schloss
Anna Schloss was the wife of renowned American value investor Walter Schloss.
E409841 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: Anna Schloss | Statement: [Walter Schloss, spouse, Anna Schloss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Schloss
Context triple: [Walter Schloss, spouse, Anna Schloss]
  • A. Anna Schwarz
    Anna Schwarz was the wife of Nobel Prize–winning German novelist and playwright Günter Grass.
  • B. Eva Schubach
    Eva Schubach is known as a former spouse of Gerhard Schröder, the one-time Chancellor of Germany.
  • C. Margot Löwenthal
    Margot Löwenthal was the daughter of Elsa Löwenthal, who was Albert Einstein’s second wife and cousin.
  • D. Sophie von Haselberg
    Sophie von Haselberg is an American actress and producer, known for her work in film, television, and theater as well as for being the daughter of entertainer Bette Midler and artist Martin von Haselberg.
  • E. Elisabeth Vietz
    Elisabeth Vietz was the mother of Austrian composer Franz Schubert, playing a formative role in his early family life and upbringing.
  • 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: Anna Schloss
Triple: [Walter Schloss, spouse, Anna Schloss]
Generated description
Anna Schloss was the wife of renowned American value investor Walter Schloss.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anna Schloss
Target entity description: Anna Schloss was the wife of renowned American value investor Walter Schloss.
  • A. Anna Schwarz
    Anna Schwarz was the wife of Nobel Prize–winning German novelist and playwright Günter Grass.
  • B. Eva Schubach
    Eva Schubach is known as a former spouse of Gerhard Schröder, the one-time Chancellor of Germany.
  • C. Margot Löwenthal
    Margot Löwenthal was the daughter of Elsa Löwenthal, who was Albert Einstein’s second wife and cousin.
  • D. Sophie von Haselberg
    Sophie von Haselberg is an American actress and producer, known for her work in film, television, and theater as well as for being the daughter of entertainer Bette Midler and artist Martin von Haselberg.
  • E. Elisabeth Vietz
    Elisabeth Vietz was the mother of Austrian composer Franz Schubert, playing a formative role in his early family life and upbringing.
  • 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_69aed93908348190a26c8aaf4fab3e86 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9b511f88190afca12c77481b344 completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5628ab3ec8190aaaf7803f9f992af completed March 14, 2026, 1:28 p.m.
NEDg Description generation batch_69b5633103e081909dbe7a7e54877343 completed March 14, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_69b563eca17c81908deff0d361a7be87 completed March 14, 2026, 1:34 p.m.
Created at: March 9, 2026, 3:32 p.m.