Triple

T17520423
Position Surface form Disambiguated ID Type / Status
Subject IPython E426666 entity
Predicate developer P73 FINISHED
Object Fernando Pérez NE NERFINISHED

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: Fernando Pérez | Statement: [IPython, developer, Fernando Pérez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fernando Pérez
Context triple: [IPython, developer, Fernando Pérez]
  • A. Fernando Pérez chosen
    Fernando Pérez is a computer scientist and software developer best known for creating IPython and co-founding Project Jupyter, which underpins much of modern interactive scientific computing and data analysis.
  • B. Gonzalo López-Gallego
    Gonzalo López-Gallego is a Spanish film director known for his work in genre cinema, including thrillers and science fiction films.
  • C. Lorenzo García-Barbón
    Lorenzo García-Barbón is a Spanish architect best known for his role in designing FC Barcelona’s iconic Camp Nou stadium.
  • D. Pablo Díaz-Reixa
    Pablo Díaz-Reixa is a Spanish musician and producer best known for his experimental, tropical-influenced pop project El Guincho.
  • E. Fernando Martín Espina
    Fernando Martín Espina was a pioneering Spanish basketball player, notably one of the first Europeans to play in the NBA, whose legacy is honored by having Baloncesto Fuenlabrada’s home arena named after him.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d23cf08190925510344fa36f57 completed April 19, 2026, 3:58 a.m.
Created at: April 10, 2026, 5:49 a.m.