Triple

T14699533
Position Surface form Disambiguated ID Type / Status
Subject Lettice and Lovage E345255 entity
Predicate hasNotableRole P161 FINISHED
Object Lotte Schoen
Lotte Schoen is a character in Peter Shaffer’s play "Lettice and Lovage," serving as a stern, bureaucratic foil to the flamboyant protagonist, Lettice Douffet.
 E1121989 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: Lotte Schoen | Statement: [Lettice and Lovage, hasNotableRole, Lotte Schoen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lotte Schoen
Context triple: [Lettice and Lovage, hasNotableRole, Lotte Schoen]
  • A. Lotte Stein
    Lotte Stein was a German actress known for her work in early 20th-century European cinema and theater.
  • B. Lotte Walter
    Lotte Walter was the daughter of renowned German-born conductor and composer Bruno Walter.
  • C. Lotte Stahl
    Lotte Stahl was the wife of German chemist and Nobel laureate Eduard Buchner.
  • D. Rosa Holländer
    Rosa Holländer was a member of the Holländer family and an aunt of diarist Anne Frank through her sister Edith Holländer.
  • E. Margot Löwenthal
    Margot Löwenthal was the daughter of Elsa Löwenthal, who was Albert Einstein’s second wife and cousin.
  • 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: Lotte Schoen
Triple: [Lettice and Lovage, hasNotableRole, Lotte Schoen]
Generated description
Lotte Schoen is a character in Peter Shaffer’s play "Lettice and Lovage," serving as a stern, bureaucratic foil to the flamboyant protagonist, Lettice Douffet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lotte Schoen
Target entity description: Lotte Schoen is a character in Peter Shaffer’s play "Lettice and Lovage," serving as a stern, bureaucratic foil to the flamboyant protagonist, Lettice Douffet.
  • A. Lotte Stein
    Lotte Stein was a German actress known for her work in early 20th-century European cinema and theater.
  • B. Lotte Walter
    Lotte Walter was the daughter of renowned German-born conductor and composer Bruno Walter.
  • C. Lotte Stahl
    Lotte Stahl was the wife of German chemist and Nobel laureate Eduard Buchner.
  • D. Rosa Holländer
    Rosa Holländer was a member of the Holländer family and an aunt of diarist Anne Frank through her sister Edith Holländer.
  • E. Margot Löwenthal
    Margot Löwenthal was the daughter of Elsa Löwenthal, who was Albert Einstein’s second wife and cousin.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb604f88081908a677175045496d0 completed April 14, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe38857068819085e0d62829302abd completed May 8, 2026, 7:24 p.m.
NEDg Description generation batch_69fe51446e7c8190ad8d3c1396e64a8e completed May 8, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_69fe5192da448190869093360766e815 completed May 8, 2026, 9:11 p.m.
Created at: April 10, 2026, 1:28 a.m.