Triple

T11817340
Position Surface form Disambiguated ID Type / Status
Subject Alfonso VI of León E281034 entity
Predicate spouse P13 FINISHED
Object Berta
Berta was a medieval queen consort of León and Castile as the wife of King Alfonso VI.
 E948120 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: Berta | Statement: [Alfonso VI of León, spouse, Berta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Berta
Context triple: [Alfonso VI of León, spouse, Berta]
  • A. Berta
    Berta is the sharp-tongued, no-nonsense housekeeper known for her sarcastic humor on the sitcom "Two and a Half Men."
  • B. Berta
    Berta is a fictional character in Paulo Coelho’s novel "The Devil and Miss Prym," serving as one of the villagers whose life and choices reflect the book’s central moral and spiritual dilemmas.
  • C. Berta
    Berta is a Nilo-Saharan language spoken primarily in parts of Sudan and Ethiopia.
  • D. Frieda
    Frieda is a 1947 British drama film produced by Michael Balcon that explores post-World War II tensions and prejudice in England.
  • E. Frieda
    Frieda is a minor Peanuts character known for her naturally curly hair and prim personality, who appears alongside Charlie Brown and his friends.
  • 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: Berta
Triple: [Alfonso VI of León, spouse, Berta]
Generated description
Berta was a medieval queen consort of León and Castile as the wife of King Alfonso VI.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Berta
Target entity description: Berta was a medieval queen consort of León and Castile as the wife of King Alfonso VI.
  • A. Berta
    Berta is a fictional character in Paulo Coelho’s novel "The Devil and Miss Prym," serving as one of the villagers whose life and choices reflect the book’s central moral and spiritual dilemmas.
  • B. Berta
    Berta is a Nilo-Saharan language spoken primarily in parts of Sudan and Ethiopia.
  • C. Berta
    Berta is the sharp-tongued, no-nonsense housekeeper known for her sarcastic humor on the sitcom "Two and a Half Men."
  • D. Frieda
    Frieda is a 1947 British drama film produced by Michael Balcon that explores post-World War II tensions and prejudice in England.
  • E. Frieda
    Frieda is a minor Peanuts character known for her naturally curly hair and prim personality, who appears alongside Charlie Brown and his friends.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5e760988190b50d13bba5ef5b43 completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f131cbf9708190ba8394fb3508b975 completed April 28, 2026, 10:16 p.m.
NEDg Description generation batch_69f14e8a1b788190a1704d6e102342e3 completed April 29, 2026, 12:19 a.m.
NED2 Entity disambiguation (via description) batch_69f15715a1588190ba0ec21647adc57c completed April 29, 2026, 12:55 a.m.
Created at: April 8, 2026, 9:42 p.m.