Triple

T2217418
Position Surface form Disambiguated ID Type / Status
Subject Alberto Iglesias E48064 entity
Predicate givenName P17 FINISHED
Object Alberto E65543 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: Alberto | Statement: [Alberto Iglesias, givenName, Alberto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alberto
Context triple: [Alberto Iglesias, givenName, Alberto]
  • A. Alberto chosen
    Alberto is a masculine given name common in Romance-language countries, derived from the Germanic name Albert and sharing its meaning of "noble" or "bright."
  • B. Roberto
    Roberto is a masculine given name commonly used in Romance-language countries, equivalent to the English name Robert.
  • C. Hércules Barsotti
    Hércules Barsotti was a Brazilian artist known for his contributions to geometric abstraction and concrete art in the mid-20th century.
  • D. Arturo
    Arturo is a masculine given name of Spanish and Italian origin, equivalent to Arthur in English.
  • E. Alberto Cavos
    Alberto Cavos was a 19th-century Russian-Italian architect best known for designing and reconstructing major imperial theaters in Russia, including the Bolshoi Theatre in Moscow and the Mariinsky Theatre in Saint Petersburg.
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc010bd4c8190ace293b37eac1de5 completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae65594c948190a43bdab03e61c130 completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:46 p.m.