Triple

T10145274
Position Surface form Disambiguated ID Type / Status
Subject Jacobo E231687 entity
Predicate hasShortForm P43 FINISHED
Object Jaco
Jaco is a short form of the given name Jacobo, commonly used as a personal name or nickname in Spanish-speaking contexts.
 E844425 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: Jaco | Statement: [Jacobo, hasShortForm, Jaco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jaco
Context triple: [Jacobo, hasShortForm, Jaco]
  • A. Juanito
    Juanito is a character from John Steinbeck’s novella "The Girl of the Sea of Cortez," serving as part of the story’s intimate portrait of life and relationships in a small Gulf of California fishing community.
  • B. Jowny
    Jowny is a music producer associated with the artist Nibiru.
  • C. Jo Jo
    Jo Jo is a screenwriter known for contributing to the script of the 1941 Technicolor drama film "Blood and Sand."
  • D. Elvin
    Elvin is a masculine given name most notably associated with Hall of Fame basketball player Elvin Hayes.
  • E. Durinho
    Durinho is the Brazilian mixed martial artist and Brazilian jiu-jitsu world champion better known by his full name, Gilbert Burns.
  • 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: Jaco
Triple: [Jacobo, hasShortForm, Jaco]
Generated description
Jaco is a short form of the given name Jacobo, commonly used as a personal name or nickname in Spanish-speaking contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jaco
Target entity description: Jaco is a short form of the given name Jacobo, commonly used as a personal name or nickname in Spanish-speaking contexts.
  • A. Juanito
    Juanito is a character from John Steinbeck’s novella "The Girl of the Sea of Cortez," serving as part of the story’s intimate portrait of life and relationships in a small Gulf of California fishing community.
  • B. Jowny
    Jowny is a music producer associated with the artist Nibiru.
  • C. Jo Jo
    Jo Jo is a screenwriter known for contributing to the script of the 1941 Technicolor drama film "Blood and Sand."
  • D. Elvin
    Elvin is a masculine given name most notably associated with Hall of Fame basketball player Elvin Hayes.
  • E. Durinho
    Durinho is the Brazilian mixed martial artist and Brazilian jiu-jitsu world champion better known by his full name, Gilbert Burns.
  • 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_69ca848364f881908a24366a6feec1db completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdeb2a373081908615f7b2314e7f90 completed April 2, 2026, 4:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e62236c88190a6ddaf4957cb8b5f completed April 5, 2026, 10:45 p.m.
NEDg Description generation batch_69d2e73fd6988190a338a9e49dc3671b completed April 5, 2026, 10:50 p.m.
NED2 Entity disambiguation (via description) batch_69d2e8c425b88190b20f1706fe3343f4 completed April 5, 2026, 10:57 p.m.
Created at: March 30, 2026, 9:07 p.m.