Triple

T4979114
Position Surface form Disambiguated ID Type / Status
Subject Miranda E111839 entity
Predicate hasVariant P455 FINISHED
Object de Miranda
"de Miranda" is a surname variant commonly associated with Portuguese and Spanish-speaking cultures, often borne by notable figures in politics, arts, and literature.
E135371 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: de Miranda | Statement: [Miranda, hasVariant, de Miranda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de Miranda
Context triple: [Miranda, hasVariant, de Miranda]
  • A. Mirande
    Mirande is a small commune in southwestern France known for its traditional Gascon culture and annual country music festival.
  • B. Mirado
    Mirado is a line of wooden pencils produced under the Paper Mate brand, known for their smooth writing and reliability.
  • C. Terra de Miranda
    Terra de Miranda is a culturally distinct region in northeastern Portugal known for preserving the Mirandese language and unique local traditions.
  • D. Machado
    Machado is a surname most prominently associated with Manny Machado, an All-Star Major League Baseball third baseman and shortstop.
  • E. Davila
    Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
  • 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: de Miranda
Triple: [Miranda, hasVariant, de Miranda]
Generated description
"de Miranda" is a surname variant commonly associated with Portuguese and Spanish-speaking cultures, often borne by notable figures in politics, arts, and literature.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: de Miranda
Target entity description: "de Miranda" is a surname variant commonly associated with Portuguese and Spanish-speaking cultures, often borne by notable figures in politics, arts, and literature.
  • A. Mirande
    Mirande is a small commune in southwestern France known for its traditional Gascon culture and annual country music festival.
  • B. Mirado
    Mirado is a line of wooden pencils produced under the Paper Mate brand, known for their smooth writing and reliability.
  • C. Terra de Miranda chosen
    Terra de Miranda is a culturally distinct region in northeastern Portugal known for preserving the Mirandese language and unique local traditions.
  • D. Machado
    Machado is a surname most prominently associated with Manny Machado, an All-Star Major League Baseball third baseman and shortstop.
  • E. Davila
    Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
  • 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_69bd441adc208190b70a033a0741d01e completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd723418e881908f1e43b1be0a2f17 completed March 20, 2026, 4:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a0ac8d48190b9d050e26b67a794 completed March 21, 2026, 12:07 p.m.
NEDg Description generation batch_69be8d747c40819098ac5d475d60ab46 completed March 21, 2026, 12:22 p.m.
NED2 Entity disambiguation (via description) batch_69be8df7ab9c8190b1af6e32f0f33b30 completed March 21, 2026, 12:24 p.m.
Created at: March 20, 2026, 1:33 p.m.