Triple

T6887578
Position Surface form Disambiguated ID Type / Status
Subject Los Angeles E158960 entity
Predicate founder P104 FINISHED
Object Felipe de Neve E10785 NE FINISHED

How this triple was built (2 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 de Neve | Statement: [Los Angeles, founder, Felipe de Neve]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Felipe de Neve
Context triple: [Los Angeles, founder, Felipe de Neve]
  • A. Felipe de Neve chosen
    Felipe de Neve was an 18th-century Spanish colonial governor of California best known for establishing the city of Los Angeles.
  • B. Felipe
    Felipe is a Spanish-origin surname borne by various individuals, including the Filipino composer Julián Felipe.
  • C. Felipe Luciano
    Felipe Luciano is an American poet, activist, and media personality best known as a founding member of the Nuyorican movement and an early voice in politically charged spoken-word performance.
  • D. Felipe Fermín Paúl
    Felipe Fermín Paúl was a Venezuelan statesman and independence leader who helped shape the country’s break from Spanish colonial rule in the early 19th century.
  • E. Juan Luis
    Juan Luis is a Spanish given name commonly used in Hispanic countries, often associated with notable figures in religion, arts, and public life.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c688342f6c8190ad7eea6ba262db99 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d9101e30819084695ba0003a255c completed March 27, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748cc2f908190b593cd82133a7b16 completed March 28, 2026, 3:19 a.m.
Created at: March 27, 2026, 2:23 p.m.