Triple

T21387869
Position Surface form Disambiguated ID Type / Status
Subject Sergio Marquina E527553 entity
Predicate alias P39 FINISHED
Object El Profesor 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: El Profesor | Statement: [Sergio Marquina, alias, El Profesor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Profesor
Context triple: [Sergio Marquina, alias, El Profesor]
  • A. El Profesor chosen
    El Profesor is the brilliant mastermind and strategic leader of the heist crew in the Spanish television series "La Casa de Papel" ("Money Heist").
  • B. La Profesa
    La Profesa is a historic Baroque Catholic church and former Jesuit temple located in the historic center of Mexico City.
  • C. Le Professeur
    Le Professeur was the nickname of French cyclist Laurent Fignon, a two-time Tour de France winner known for his intelligence, distinctive round glasses, and tactical racing style.
  • D. The Teacher
    The Teacher is the enigmatic and manipulative leader of the secretive religious sect in "The Da Vinci Code," commanding intense loyalty from followers like Silas.
  • E. The Teacher
    "The Teacher" is one of the interconnected short stories in Sherwood Anderson's 1919 collection *Winesburg, Ohio*, focusing on the inner life and emotional struggles of a small-town schoolteacher.
  • 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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee62cb05288190a894f33850e22c03 completed April 26, 2026, 7:08 p.m.
Created at: April 16, 2026, 5:12 p.m.