Triple

T2067628
Position Surface form Disambiguated ID Type / Status
Subject Jaime E45938 entity
Predicate hasRelatedName P3889 FINISHED
Object Jacobo
Jacobo is a given name, commonly used in Spanish-speaking cultures, that is related to or derived from the name Jaime.
 E231687 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: Jacobo | Statement: [Jaime, hasRelatedName, Jacobo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jacobo
Context triple: [Jaime, hasRelatedName, Jacobo]
  • A. Julián
    Julián is a given name of Latin origin, commonly used in Spanish-speaking countries as a variant of Julian.
  • B. José
    José is the given first name of Major League Baseball manager and former player Alex Cora.
  • C. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • D. Jorge
    Jorge is the given name of the renowned Argentine writer and poet Jorge Luis Borges, a central figure in 20th-century literature.
  • E. Martín
    Martín is a masculine given name of Latin origin, commonly used in Spanish-speaking countries and derived from the name Martinus, associated with the Roman god Mars.
  • 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: Jacobo
Triple: [Jaime, hasRelatedName, Jacobo]
Generated description
Jacobo is a given name, commonly used in Spanish-speaking cultures, that is related to or derived from the name Jaime.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jacobo
Target entity description: Jacobo is a given name, commonly used in Spanish-speaking cultures, that is related to or derived from the name Jaime.
  • A. Julián
    Julián is a given name of Latin origin, commonly used in Spanish-speaking countries as a variant of Julian.
  • B. José
    José is the given first name of Major League Baseball manager and former player Alex Cora.
  • C. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • D. Jorge
    Jorge is the given name of the renowned Argentine writer and poet Jorge Luis Borges, a central figure in 20th-century literature.
  • E. Martín
    Martín is a masculine given name of Latin origin, commonly used in Spanish-speaking countries and derived from the name Martinus, associated with the Roman god Mars.
  • 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_69a8891b38288190abd572ccad9b6928 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9f362f48190b1b0e560424c3aef completed March 7, 2026, 5:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2724f46c81909521ca75185ef5f1 completed March 9, 2026, 1:49 a.m.
NEDg Description generation batch_69ae2901eb588190863e15deb8614754 completed March 9, 2026, 1:57 a.m.
NED2 Entity disambiguation (via description) batch_69ae297ebf6c819086e10ee455bea988 completed March 9, 2026, 1:59 a.m.
Created at: March 4, 2026, 7:40 p.m.