Triple

T5101994
Position Surface form Disambiguated ID Type / Status
Subject The Professor E114999 entity
Predicate createdBy P806 FINISHED
Object Álex Pina E174799 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: Álex Pina | Statement: [The Professor, createdBy, Álex Pina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Álex Pina
Context triple: [The Professor, createdBy, Álex Pina]
  • A. Álex Pina chosen
    Álex Pina is a Spanish television producer, writer, and showrunner best known for creating the globally successful series "Money Heist" (La Casa de Papel).
  • B. Eduardo Serra
    Eduardo Serra is an acclaimed Portuguese-born cinematographer known for his visually distinctive work on films such as "A Single Man," "Girl with a Pearl Earring," and "Harry Potter and the Deathly Hallows."
  • 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. Eduardo Arenas
    Eduardo Arenas is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Arenas.
  • E. Gonzalo García Barcha
    Gonzalo García Barcha is a Colombian-Mexican film editor and son of Nobel Prize–winning writer Gabriel García Márquez and Mercedes Barcha.
  • 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_69bd4440b3348190be1251fd8b7951f1 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7584ed408190a6d1086588f24faa completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed915418c819083b6f304b7dd31db completed March 21, 2026, 5:44 p.m.
Created at: March 20, 2026, 1:41 p.m.