Triple

T22093221
Position Surface form Disambiguated ID Type / Status
Subject The Shallows E545959 entity
Predicate character P662 FINISHED
Object Carlos 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: Carlos | Statement: [The Shallows, character, Carlos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlos
Context triple: [The Shallows, character, Carlos]
  • A. Carlos chosen
    Carlos is a common Spanish given name widely used across Spanish-speaking countries and communities.
  • B. Carlos
    Carlos is a biographical political thriller miniseries about the life of Venezuelan revolutionary and terrorist Ilich Ramírez Sánchez, known as "Carlos the Jackal."
  • C. Carlos V
    Carlos V is the dynastic title claimed by Infante Carlos, Count of Molina, as the Carlist pretender to the Spanish throne in the 19th century.
  • D. Karlos Vianako Printzea
    Karlos Vianako Printzea is the Basque name for Charles, Prince of Viana, a 15th-century Navarrese royal heir known for his political struggles and cultural patronage.
  • E. Manuel
    Manuel is the given first name of actor Manny Jacinto, known for his role as Jason Mendoza on the television series "The Good Place."
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e6b1d881909bf0f4a52199354c completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.