Triple

T10145365
Position Surface form Disambiguated ID Type / Status
Subject Santiago E231691 entity
Predicate orthographicForm P2203 FINISHED
Object Santiago unclear NED1 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: Santiago | Statement: [Santiago, orthographicForm, Santiago]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santiago
Context triple: [Santiago, orthographicForm, Santiago]
  • A. Santiago
    Santiago is the capital and primary economic, political, and cultural center of Chile, located in the country’s central valley.
  • B. Santiago
    Santiago is the aging Cuban fisherman and stoic protagonist of Ernest Hemingway’s novella *The Old Man and the Sea*, known for his endurance, dignity, and struggle against a giant marlin.
  • C. Santiago
    Santiago is the Spanish name traditionally used for James the Greater, one of the Twelve Apostles of Jesus and a major figure in Christian tradition.
  • D. Santiago
    Santiago is a charismatic bohemian performer and friend of Christian in *Moulin Rouge! The Musical*, contributing comic relief, passion, and artistic flair to the story.
  • E. Santiago
    Santiago is the surname of Puerto Rican Latin trap and reggaeton artist Anuel AA, whose full name is Emmanuel Gazmey Santiago.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69ca848364f881908a24366a6feec1db completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdeb2a373081908615f7b2314e7f90 completed April 2, 2026, 4:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e62236c88190a6ddaf4957cb8b5f completed April 5, 2026, 10:45 p.m.
Created at: March 30, 2026, 9:07 p.m.