Triple

T6496533
Position Surface form Disambiguated ID Type / Status
Subject Gioffre Borgia E148173 entity
Predicate spouse P13 FINISHED
Object 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.
E597797 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: Maria de Mila | Statement: [Gioffre Borgia, spouse, Maria de Mila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maria de Mila
Context triple: [Gioffre Borgia, spouse, Maria de Mila]
  • A. 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.
  • B. María
    "María" is a film featuring actress Taryn Power in a significant role.
  • C. María
    María is a feminine given name of Hebrew origin, widely used in Spanish-speaking countries and associated with numerous historical and religious figures.
  • D. María
    "María" is a 1995 Latin pop hit by Puerto Rican singer Ricky Martin that became one of his signature international breakthrough songs.
  • E. María
    María is the given first name of Josefa Ortiz de Domínguez, a prominent figure in Mexico’s War of Independence.
  • 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: Maria de Mila
Triple: [Gioffre Borgia, spouse, Maria de Mila]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maria de Mila
Target entity description: 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.
  • A. 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.
  • B. María
    "María" is a film featuring actress Taryn Power in a significant role.
  • C. María
    María is the given first name of Josefa Ortiz de Domínguez, a prominent figure in Mexico’s War of Independence.
  • D. María
    María is a feminine given name of Hebrew origin, widely used in Spanish-speaking countries and associated with numerous historical and religious figures.
  • E. María
    "María" is a 1995 Latin pop hit by Puerto Rican singer Ricky Martin that became one of his signature international breakthrough songs.
  • 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06aba8f04819080b291baf79c42d5 completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c65fdf59548190b4ba4f44716e6b3c completed March 27, 2026, 10:45 a.m.
NEDg Description generation batch_69c660ae1ae48190941b4e0fc1fa6bea completed March 27, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_69c6615b639c8190af0073368e55ab8d completed March 27, 2026, 10:52 a.m.
Created at: March 22, 2026, 4:53 p.m.