Triple

T13113051
Position Surface form Disambiguated ID Type / Status
Subject Juan Luis Segundo E311022 entity
Predicate givenName P17 FINISHED
Object Juan Luis E485516 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: Juan Luis | Statement: [Juan Luis Segundo, givenName, Juan Luis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juan Luis
Context triple: [Juan Luis Segundo, givenName, Juan Luis]
  • A. Juan Luis chosen
    Juan Luis is a Spanish given name commonly used in Hispanic countries, often associated with notable figures in religion, arts, and public life.
  • B. Pedro del Rey
    Pedro del Rey is a film editor best known for his work on Luis Buñuel’s acclaimed 1961 film "Viridiana."
  • C. Alfonso Mondelo
    Alfonso Mondelo is a Spanish football manager best known in the United States for his coaching roles in Major League Soccer and his work in player development.
  • D. Juan Antonio
    Juan Antonio is a charismatic Spanish painter and romantic lead in the film "Vicky Cristina Barcelona," whose passionate relationships drive much of the movie’s drama.
  • E. Juan Antonio
    Juan Antonio is a Spanish film director best known for works such as "The Orphanage," "The Impossible," and "A Monster Calls."
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9817f8ee8819084078b4bec5e4f18 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76b98a7c48190a2ca0ec7b9bd8d19 completed May 3, 2026, 3:36 p.m.
Created at: April 9, 2026, 9:06 p.m.