Triple

T16381165
Position Surface form Disambiguated ID Type / Status
Subject Queen Margarita of Bulgaria E397808 entity
Predicate familyName P18 FINISHED
Object Gómez-Acebo
Gómez-Acebo is a Spanish noble family name associated with various aristocratic lineages and members of European royalty.
 E1209537 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: Gómez-Acebo | Statement: [Queen Margarita of Bulgaria, familyName, Gómez-Acebo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gómez-Acebo
Context triple: [Queen Margarita of Bulgaria, familyName, Gómez-Acebo]
  • A. Gómez Noya
    Gómez Noya is the family name of Spanish triathlete Javier Gómez Noya, one of the sport’s most successful and decorated competitors.
  • B. López García
    López García is a Spanish surname most notably borne by the realist painter and sculptor Antonio López García.
  • C. Correa-Milà
    Correa-Milà is an architectural firm known for its role in modernizing and adapting Barcelona’s historic Estadi Olímpic Lluís Companys.
  • D. González Mateos
    González Mateos is a Spanish-language surname, notably borne by individuals such as Francisca González Mateos.
  • E. Muñoz-Torrero
    Muñoz-Torrero is the surname of Diego Muñoz-Torrero, a notable Spanish priest and liberal politician involved in early 19th-century constitutional reforms.
  • 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: Gómez-Acebo
Triple: [Queen Margarita of Bulgaria, familyName, Gómez-Acebo]
Generated description
Gómez-Acebo is a Spanish noble family name associated with various aristocratic lineages and members of European royalty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gómez-Acebo
Target entity description: Gómez-Acebo is a Spanish noble family name associated with various aristocratic lineages and members of European royalty.
  • A. Gómez Noya
    Gómez Noya is the family name of Spanish triathlete Javier Gómez Noya, one of the sport’s most successful and decorated competitors.
  • B. López García
    López García is a Spanish surname most notably borne by the realist painter and sculptor Antonio López García.
  • C. Correa-Milà
    Correa-Milà is an architectural firm known for its role in modernizing and adapting Barcelona’s historic Estadi Olímpic Lluís Companys.
  • D. González Mateos
    González Mateos is a Spanish-language surname, notably borne by individuals such as Francisca González Mateos.
  • E. Muñoz-Torrero
    Muñoz-Torrero is the surname of Diego Muñoz-Torrero, a notable Spanish priest and liberal politician involved in early 19th-century constitutional reforms.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319dd0e0c8190812bde6a2f7d9644 completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0035689ef08190ba980a359498ca56 completed May 10, 2026, 7:36 a.m.
NEDg Description generation batch_6a00363c50848190a6a3d692cbe07cd0 completed May 10, 2026, 7:39 a.m.
NED2 Entity disambiguation (via description) batch_6a0036e53f2c81908f04a5e51870040c completed May 10, 2026, 7:42 a.m.
Created at: April 10, 2026, 5:08 a.m.