Triple

T14781421
Position Surface form Disambiguated ID Type / Status
Subject Rojo E347396 entity
Predicate hasNotableBearer P458 FINISHED
Object Miguel Rojo
Miguel Rojo is a notable individual distinguished enough in his field or public life to be recognized as a prominent bearer of the surname Rojo.
E1260056 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: Miguel Rojo | Statement: [Rojo, hasNotableBearer, Miguel Rojo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miguel Rojo
Context triple: [Rojo, hasNotableBearer, Miguel Rojo]
  • A. Roberto Romero
    Roberto Romero is a local political figure who serves as the mayor of the French commune of Tarare.
  • B. Sergio Reyes
    Sergio Reyes is a music producer known for his work on the album "Standing in the Spotlight."
  • C. Diego Méndez
    Diego Méndez was a Spanish architect best known for co-designing the monumental Franco-era basilica and memorial complex at the Valle de los Caídos near Madrid.
  • D. Antonio Medrano
    Antonio Medrano was an architect known for his work on the Royal Palace of Portici in Italy.
  • E. Roberto Reyes
    Roberto Reyes is a Marvel Comics character who becomes the supernatural antihero Ghost Rider, known for driving a flaming muscle car instead of the traditional motorcycle.
  • 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: Miguel Rojo
Triple: [Rojo, hasNotableBearer, Miguel Rojo]
Generated description
Miguel Rojo is a notable individual distinguished enough in his field or public life to be recognized as a prominent bearer of the surname Rojo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Miguel Rojo
Target entity description: Miguel Rojo is a notable individual distinguished enough in his field or public life to be recognized as a prominent bearer of the surname Rojo.
  • A. Roberto Romero
    Roberto Romero is a local political figure who serves as the mayor of the French commune of Tarare.
  • B. Sergio Reyes
    Sergio Reyes is a music producer known for his work on the album "Standing in the Spotlight."
  • C. Diego Méndez
    Diego Méndez was a Spanish architect best known for co-designing the monumental Franco-era basilica and memorial complex at the Valle de los Caídos near Madrid.
  • D. Antonio Medrano
    Antonio Medrano was an architect known for his work on the Royal Palace of Portici in Italy.
  • E. Roberto Reyes
    Roberto Reyes is a Marvel Comics character who becomes the supernatural antihero Ghost Rider, known for driving a flaming muscle car instead of the traditional motorcycle.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deca9de3f48190b7706925e2947cf5 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01792dc0b08190a0871959ce752313 completed May 11, 2026, 6:37 a.m.
NEDg Description generation batch_6a0179f16af481909f409adb5367f021 completed May 11, 2026, 6:40 a.m.
NED2 Entity disambiguation (via description) batch_6a017ad8480881909ca9a9982585b08d completed May 11, 2026, 6:44 a.m.
Created at: April 10, 2026, 1:31 a.m.