Triple

T22337943
Position Surface form Disambiguated ID Type / Status
Subject Jorge Nuno Pinto da Costa E552199 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 Nuno Pinto da Costa, givenName, Jorge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jorge
Context triple: [Jorge Nuno Pinto da Costa, givenName, Jorge]
  • A. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • 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 a character portrayed by actor Giancarlo Esposito, known for his nuanced and often intense roles in film and television.
  • D. Jorge
    Jorge is a fictional character who appears in the Mexican film "Viridiana," directed by Luis Buñuel.
  • E. Jorge
    Jorge is a key supporting character and leader of a rebel group in James Dashner’s dystopian Maze Runner sequel "The Scorch Trials."
  • 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 Nuno Pinto da Costa, 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_69e11e494eec81909c4d2d51f69499d9 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1578184f481908d4ec1737a8a72d4 completed April 29, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b12441a108190b2a6e863bbb25ac0 completed May 18, 2026, 1:21 p.m.
NEDg Description generation batch_6a0b14570f4481909e22a19a602a4a97 completed May 18, 2026, 1:29 p.m.
NED2 Entity disambiguation (via description) batch_6a0b14ce33ac8190b86a346b76f48f7f completed May 18, 2026, 1:31 p.m.
Created at: April 16, 2026, 8:43 p.m.