Triple

T16125255
Position Surface form Disambiguated ID Type / Status
Subject Felipe Luciano E391250 entity
Predicate givenName P17 FINISHED
Object Felipe
Felipe is a masculine given name of Spanish and Portuguese origin, equivalent to Philip in English.
 E466096 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: Felipe | Statement: [Felipe Luciano, givenName, Felipe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Felipe
Context triple: [Felipe Luciano, givenName, Felipe]
  • A. Felipe
    Felipe is a Spanish-origin surname borne by various individuals, including the Filipino composer Julián Felipe.
  • B. Felipe de Neve
    Felipe de Neve was an 18th-century Spanish colonial governor of California best known for establishing the city of Los Angeles.
  • C. Felipe Ángeles
    Felipe Ángeles was a prominent Mexican military general and revolutionary figure who played a key role during the Mexican Revolution in the early 20th century.
  • D. Fernando
    "Fernando" is a popular 1976 ballad by Swedish pop group ABBA, known for its nostalgic, storytelling lyrics and melodic harmonies.
  • E. Fernando
    Fernando is the given name of Fernando Primo de Rivera, a 19th-century Spanish general and politician who briefly served as Prime Minister of Spain.
  • 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: Felipe
Triple: [Felipe Luciano, givenName, Felipe]
Generated description
Felipe is a masculine given name of Spanish and Portuguese origin, equivalent to Philip in English.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Felipe
Target entity description: Felipe is a masculine given name of Spanish and Portuguese origin, equivalent to Philip in English.
  • A. Felipe chosen
    Felipe is a Spanish-origin surname borne by various individuals, including the Filipino composer Julián Felipe.
  • B. Felipe de Neve
    Felipe de Neve was an 18th-century Spanish colonial governor of California best known for establishing the city of Los Angeles.
  • C. Felipe Ángeles
    Felipe Ángeles was a prominent Mexican military general and revolutionary figure who played a key role during the Mexican Revolution in the early 20th century.
  • D. Fernando
    "Fernando" is a popular 1976 ballad by Swedish pop group ABBA, known for its nostalgic, storytelling lyrics and melodic harmonies.
  • E. Fernando
    Fernando is the given name of Fernando Primo de Rivera, a 19th-century Spanish general and politician who briefly served as Prime Minister of Spain.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2020408a88190bf3dfc893d577c55 completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2abf9b08190a375abc842a0e7d0 completed May 10, 2026, 2:51 a.m.
NEDg Description generation batch_69fff35ded288190b4d261358f1661cb completed May 10, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69fff3f2760c8190a58fedc2798614ae completed May 10, 2026, 2:56 a.m.
Created at: April 10, 2026, 5 a.m.