Triple

T17169453
Position Surface form Disambiguated ID Type / Status
Subject Georgette Philippart E416690 entity
Predicate givenName P17 FINISHED
Object Georgette
Georgette is a feminine given name of French origin, traditionally used in Francophone countries and beyond.
 E1046030 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: Georgette | Statement: [Georgette Philippart, givenName, Georgette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Georgette
Context triple: [Georgette Philippart, givenName, Georgette]
  • A. Georgette
    Georgette is a comic servant character in Molière’s play "L’École des femmes," known for her earthy wit and role in highlighting the play’s social and gender tensions.
  • B. Georgette
    Georgette is the given name of British actress Googie Withers, who was born Georgette Lizette Withers.
  • C. Georgette
    Georgette is a central, tragic transgender character in Hubert Selby Jr.’s novel "Last Exit to Brooklyn," whose life reflects the book’s themes of marginalization and brutality.
  • D. Louise
    Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
  • E. Louise
    Louise is a central character in August Wilson's play "Seven Guitars," serving as a strong, pragmatic woman who anchors the community with her sharp wit and grounded perspective.
  • 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: Georgette
Triple: [Georgette Philippart, givenName, Georgette]
Generated description
Georgette is a feminine given name of French origin, traditionally used in Francophone countries and beyond.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Georgette
Target entity description: Georgette is a feminine given name of French origin, traditionally used in Francophone countries and beyond.
  • A. Georgette
    Georgette is a comic servant character in Molière’s play "L’École des femmes," known for her earthy wit and role in highlighting the play’s social and gender tensions.
  • B. Georgette chosen
    Georgette is the given name of British actress Googie Withers, who was born Georgette Lizette Withers.
  • C. Georgette
    Georgette is a central, tragic transgender character in Hubert Selby Jr.’s novel "Last Exit to Brooklyn," whose life reflects the book’s themes of marginalization and brutality.
  • D. Louise
    Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
  • E. Louise
    Louise is a central character in August Wilson's play "Seven Guitars," serving as a strong, pragmatic woman who anchors the community with her sharp wit and grounded perspective.
  • F. None of above.

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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f91831d88190b262227fc41c9067 completed April 18, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fc83984819098c98b75cf021e3a completed May 11, 2026, 4:49 a.m.
NEDg Description generation batch_6a0160beb4188190b6e9a91f50b6e276 completed May 11, 2026, 4:53 a.m.
NED2 Entity disambiguation (via description) batch_6a016158b1d081909b62cf73e14b3e78 completed May 11, 2026, 4:55 a.m.
Created at: April 10, 2026, 5:37 a.m.