Triple

T13633877
Position Surface form Disambiguated ID Type / Status
Subject Sebastián Blanco E325795 entity
Predicate familyName P18 FINISHED
Object Blanco E173667 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: Blanco | Statement: [Sebastián Blanco, familyName, Blanco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blanco
Context triple: [Sebastián Blanco, familyName, Blanco]
  • A. Blanco chosen
    Blanco is a Spanish-language surname most notably associated with Mexican football legend and politician Cuauhtémoc Blanco.
  • B. Blanc
    Blanc is the surname of Mel Blanc, the legendary American voice actor best known for bringing to life many iconic Looney Tunes characters.
  • C. Marcho and Blanco
    Marcho and Blanco are the legendary hobbit brothers credited with leading their people westward and establishing the Shire in J.R.R. Tolkien’s Middle-earth legendarium.
  • D. La Blanca
    La Blanca is a municipality located in the San Marcos Department of western Guatemala, known for its rural character and agricultural activities.
  • E. Bianco
    Bianco is an Italian surname commonly associated with individuals of Italian heritage, including the artist Enrico Bianco.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5a490508190924ac40f1dd519d6 completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77fab07648190b3b3362a8ffa8961 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:51 p.m.