Triple

T33824695
Position Surface form Disambiguated ID Type / Status
Subject Memorial do Convento E866926 entity
Predicate featuresCharacter P626 FINISHED
Object Queen Maria Ana of Austria
Queen Maria Ana of Austria was an 18th-century Habsburg archduchess who became Queen of Portugal through her marriage to King John V, known for her piety and influence at the Portuguese court.
E2243533 NE FINISHED

How this triple was built (2 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: Queen Maria Ana of Austria | Statement: [Memorial do Convento, featuresCharacter, Queen Maria Ana of Austria]
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: Queen Maria Ana of Austria
Triple: [Memorial do Convento, featuresCharacter, Queen Maria Ana of Austria]
Generated description
Queen Maria Ana of Austria was an 18th-century Habsburg archduchess who became Queen of Portugal through her marriage to King John V, known for her piety and influence at the Portuguese court.

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_69f34991dd248190a659541588506b3c completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6fffed9e8819097623c7bb3e487a8 completed May 3, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a40f15e67c881909176789bd30dd41b completed June 28, 2026, 10:03 a.m.
NEDg Description generation batch_6a40f23ecbc081909576b02690c2cc92 completed June 28, 2026, 10:06 a.m.
NED2 Entity disambiguation (via description) batch_6a40f2dd54488190b0da6cb656706f54 completed June 28, 2026, 10:09 a.m.
Created at: May 1, 2026, 1:46 a.m.