Triple

T11183523
Position Surface form Disambiguated ID Type / Status
Subject Marsha Garces E264601 entity
Predicate familyName P18 FINISHED
Object Garces
Garces is a Spanish-origin surname borne by various notable individuals across fields such as entertainment, sports, and public service.
 E910179 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: Garces | Statement: [Marsha Garces, familyName, Garces]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Garces
Context triple: [Marsha Garces, familyName, Garces]
  • A. Carrillo
    Carrillo is a Spanish-origin surname borne by numerous notable individuals across the Spanish-speaking world and beyond.
  • B. Carbajal
    Carbajal is a Spanish surname historically associated with figures such as Garcí Manuel de Carbajal, a notable colonial-era official.
  • C. Diéguez
    Diéguez is a Spanish-language surname of Galician origin borne by various notable individuals, including figures in the arts and public life.
  • D. Davila
    Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
  • E. Velasco
    Velasco is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
  • 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: Garces
Triple: [Marsha Garces, familyName, Garces]
Generated description
Garces is a Spanish-origin surname borne by various notable individuals across fields such as entertainment, sports, and public service.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Garces
Target entity description: Garces is a Spanish-origin surname borne by various notable individuals across fields such as entertainment, sports, and public service.
  • A. Carrillo
    Carrillo is a Spanish-origin surname borne by numerous notable individuals across the Spanish-speaking world and beyond.
  • B. Carbajal
    Carbajal is a Spanish surname historically associated with figures such as Garcí Manuel de Carbajal, a notable colonial-era official.
  • C. Diéguez
    Diéguez is a Spanish-language surname of Galician origin borne by various notable individuals, including figures in the arts and public life.
  • D. Davila
    Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
  • E. Velasco
    Velasco is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8a9c5e081908c85b41a268428fb completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e483c1b4f88190b7c38b254d37c7fb completed April 19, 2026, 7:26 a.m.
NEDg Description generation batch_69e48717c35481908fb05597084167e7 completed April 19, 2026, 7:41 a.m.
NED2 Entity disambiguation (via description) batch_69e48875faa88190af33654e6d9a708b completed April 19, 2026, 7:47 a.m.
Created at: April 8, 2026, 9:29 p.m.