Triple

T4729728
Position Surface form Disambiguated ID Type / Status
Subject Julián Felipe E104975 entity
Predicate familyName P18 FINISHED
Object Felipe
Felipe is a Spanish-origin surname borne by various individuals, including the Filipino composer Julián Felipe.
 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: [Julián Felipe, familyName, Felipe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Felipe
Context triple: [Julián Felipe, familyName, Felipe]
  • A. Felipe de Neve
    Felipe de Neve was an 18th-century Spanish colonial governor of California best known for establishing the city of Los Angeles.
  • B. Fernando
    "Fernando" is a popular 1976 ballad by Swedish pop group ABBA, known for its nostalgic, storytelling lyrics and melodic harmonies.
  • C. 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.
  • D. Fernando
    Fernando is a masculine given name of Spanish and Portuguese origin, commonly used in many Spanish-speaking and Lusophone countries.
  • E. Fernando
    Fernando is the given name of Salgueiro Maia, a key Portuguese military officer who played a leading role in the Carnation Revolution.
  • 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: [Julián Felipe, familyName, Felipe]
Generated description
Felipe is a Spanish-origin surname borne by various individuals, including the Filipino composer Julián Felipe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Felipe
Target entity description: Felipe is a Spanish-origin surname borne by various individuals, including the Filipino composer Julián Felipe.
  • A. Felipe de Neve
    Felipe de Neve was an 18th-century Spanish colonial governor of California best known for establishing the city of Los Angeles.
  • B. Fernando
    "Fernando" is a popular 1976 ballad by Swedish pop group ABBA, known for its nostalgic, storytelling lyrics and melodic harmonies.
  • C. 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.
  • D. Fernando
    Fernando is a masculine given name of Spanish and Portuguese origin, commonly used in many Spanish-speaking and Lusophone countries.
  • E. Fernando
    Fernando is the given name of Salgueiro Maia, a key Portuguese military officer who played a leading role in the Carnation Revolution.
  • 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_69bd43ed84648190ae0b7ee8e8d00482 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd646135c881909030c21a163cc619 completed March 20, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a0739a88190aefc952d9d9b39e2 completed March 21, 2026, 6:26 a.m.
NEDg Description generation batch_69be3bee50708190938feae0a3ddeb48 completed March 21, 2026, 6:34 a.m.
NED2 Entity disambiguation (via description) batch_69be3cd64d0c8190b007e9f027185225 completed March 21, 2026, 6:38 a.m.
Created at: March 20, 2026, 1:19 p.m.