Triple

T8409187
Position Surface form Disambiguated ID Type / Status
Subject Edma Morisot E198578 entity
Predicate givenName P17 FINISHED
Object Edma
Edma Morisot was a 19th-century French painter associated with the early Impressionist circle and known as the elder sister of Berthe Morisot.
 E731454 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: Edma | Statement: [Edma Morisot, givenName, Edma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Edma
Context triple: [Edma Morisot, givenName, Edma]
  • A. Maria de Mila
    Maria de Mila was a Spanish noblewoman of the late 15th and early 16th centuries who became part of the powerful Borgia family through her marriage to Gioffre Borgia.
  • B. Micheline
    Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
  • C. Antoinette
    Antoinette is the birth name of Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
  • D. 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.
  • E. Martine
    Martine is a feminine given name commonly used in French- and English-speaking countries.
  • 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: Edma
Triple: [Edma Morisot, givenName, Edma]
Generated description
Edma Morisot was a 19th-century French painter associated with the early Impressionist circle and known as the elder sister of Berthe Morisot.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Edma
Target entity description: Edma Morisot was a 19th-century French painter associated with the early Impressionist circle and known as the elder sister of Berthe Morisot.
  • A. Maria de Mila
    Maria de Mila was a Spanish noblewoman of the late 15th and early 16th centuries who became part of the powerful Borgia family through her marriage to Gioffre Borgia.
  • B. Micheline
    Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
  • C. Antoinette
    Antoinette is the birth name of Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
  • D. 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.
  • E. Martine
    Martine is a feminine given name commonly used in French- and English-speaking countries.
  • 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_69ca831201b481909e137936ef99ff11 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb8317045c8190b69cc99854b633be completed March 31, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce030dccf08190a70c0abf0bdcf244 completed April 2, 2026, 5:47 a.m.
NEDg Description generation batch_69ce07808098819087e896b87320aefd completed April 2, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69ce08759e1c81909c96caf3b571e1ca completed April 2, 2026, 6:11 a.m.
Created at: March 30, 2026, 6:05 p.m.