Triple

T13398977
Position Surface form Disambiguated ID Type / Status
Subject Jorge M. Pérez E319776 entity
Predicate givenName P17 FINISHED
Object Jorge
Jorge is a masculine given name of Spanish and Portuguese origin, equivalent to George in English.
 E337501 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: Jorge | Statement: [Jorge M. Pérez, givenName, Jorge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jorge
Context triple: [Jorge M. Pérez, givenName, Jorge]
  • A. Jorge
    Jorge is a character portrayed by actor Giancarlo Esposito, known for his nuanced and often intense roles in film and television.
  • B. Jorge
    Jorge is a fictional character who appears in the Mexican film "Viridiana," directed by Luis Buñuel.
  • 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. Jorge
    Jorge is the central character of Robert Silverberg’s science fiction novella "Born with the Dead," set in a future where the dead can be partially revived and live apart from the living.
  • 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: Jorge
Triple: [Jorge M. Pérez, givenName, Jorge]
Generated description
Jorge is a masculine given name of Spanish and Portuguese origin, equivalent to George in English.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jorge
Target entity description: Jorge is a masculine given name of Spanish and Portuguese origin, equivalent to George in English.
  • A. Jorge chosen
    Jorge is a masculine given name of Spanish and Portuguese origin, equivalent to George in English.
  • B. Jorge
    Jorge is the given name of the renowned Argentine writer and poet Jorge Luis Borges, a central figure in 20th-century literature.
  • 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 a character portrayed by actor Giancarlo Esposito, known for his nuanced and often intense roles in film and television.
  • E. Jorge
    Jorge is a fictional character who appears in the Mexican film "Viridiana," directed by Luis Buñuel.
  • F. None of above.

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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbae47e99081909d8b5dba97a11988 completed April 12, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1b143388190a6bed8e21105a406 completed May 6, 2026, 8:16 p.m.
NEDg Description generation batch_69fba67cb5b88190ad160d65a14fd841 completed May 6, 2026, 8:37 p.m.
NED2 Entity disambiguation (via description) batch_69fba6e9ba0c8190b540c86a0b7baa0a completed May 6, 2026, 8:39 p.m.
Created at: April 9, 2026, 9:34 p.m.