Triple

T19826136
Position Surface form Disambiguated ID Type / Status
Subject Philippine tarsier E476330 entity
Predicate genus P87 FINISHED
Object Carlito 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: Carlito | Statement: [Philippine tarsier, genus, Carlito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlito
Context triple: [Philippine tarsier, genus, Carlito]
  • A. Carlito chosen
    Carlito is a diminutive form of the Spanish given name Carlos, often used as an affectionate nickname.
  • B. Carlito Brigante
    Carlito Brigante is a fictional Puerto Rican ex-convict and former gangster struggling to escape his criminal past in the crime drama film "Carlito's Way."
  • C. Carlito Olivero
    Carlito Olivero is an American singer and actor known for his work in film, television, and music, including appearances on reality singing competitions and various screen roles.
  • D. Tito Falconi
    Tito Falconi was an Italian military aviator who served as a prominent commander in the air force of the Italian Social Republic during World War II.
  • E. Colosimo
    Colosimo is an Italian-origin surname most notably associated with early 20th-century Chicago crime boss "Big Jim" Colosimo.
  • 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e656c9e7348190a569a40bd1fca6ba completed April 20, 2026, 4:39 p.m.
Created at: April 10, 2026, 1:50 p.m.