Triple

T7521995
Position Surface form Disambiguated ID Type / Status
Subject The Patchwork Girl of Oz E177792 entity
Predicate mainCharacter P1183 FINISHED
Object Margolotte
Margolotte is a character in L. Frank Baum's Oz series, known as the Munchkin woman who creates the Patchwork Girl through a magical recipe.
 E670187 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: Margolotte | Statement: [The Patchwork Girl of Oz, mainCharacter, Margolotte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Margolotte
Context triple: [The Patchwork Girl of Oz, mainCharacter, Margolotte]
  • A. Renée
    Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
  • B. Jeanne
    Jeanne was a common French female given name historically borne by notable figures such as queens, saints, and writers.
  • C. Béatrix
    Béatrix is a novel by Honoré de Balzac that forms part of his larger La Comédie humaine cycle, depicting the complexities of love and society in 19th-century France.
  • D. Antoinette
    Antoinette is the birth name of Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
  • E. Antoinette
    Antoinette is a feminine given name of French origin, historically associated with nobility and later borne by various notable figures in the arts and public life.
  • 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: Margolotte
Triple: [The Patchwork Girl of Oz, mainCharacter, Margolotte]
Generated description
Margolotte is a character in L. Frank Baum's Oz series, known as the Munchkin woman who creates the Patchwork Girl through a magical recipe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Margolotte
Target entity description: Margolotte is a character in L. Frank Baum's Oz series, known as the Munchkin woman who creates the Patchwork Girl through a magical recipe.
  • A. Renée
    Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
  • B. Jeanne
    Jeanne was a common French female given name historically borne by notable figures such as queens, saints, and writers.
  • C. Béatrix
    Béatrix is a novel by Honoré de Balzac that forms part of his larger La Comédie humaine cycle, depicting the complexities of love and society in 19th-century France.
  • D. Antoinette
    Antoinette is the birth name of Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
  • E. Antoinette
    Antoinette is a feminine given name of French origin, historically associated with nobility and later borne by various notable figures in the arts and public life.
  • 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_69c69f29bf3081909a146aec7755f185 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f7c3c4c08190ad418978afcc98ec completed March 27, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84629f00c8190a64d51586bd3b96c completed March 28, 2026, 9:20 p.m.
NEDg Description generation batch_69c8471da6c481909b48db7ad6e9426d completed March 28, 2026, 9:24 p.m.
NED2 Entity disambiguation (via description) batch_69c848049f548190b8c9a9c3d3aeed45 completed March 28, 2026, 9:28 p.m.
Created at: March 27, 2026, 3:46 p.m.