Triple

T18030555
Position Surface form Disambiguated ID Type / Status
Subject Erik-Michael Estrada E431376 entity
Predicate familyName P18 FINISHED
Object Estrada 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: Estrada | Statement: [Erik-Michael Estrada, familyName, Estrada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Estrada
Context triple: [Erik-Michael Estrada, familyName, Estrada]
  • A. Estrada chosen
    Estrada is a Filipino surname most prominently associated with Joseph Estrada, a former movie actor who became the 13th President of the Philippines.
  • B. A Estrada
    A Estrada is a municipality in the autonomous community of Galicia in northwestern Spain, known for its rural landscapes and traditional Galician culture.
  • C. Barreto
    Barreto is a Portuguese-origin surname common in Brazil and other Lusophone countries, borne by numerous notable figures in fields such as film, literature, and politics.
  • D. Cruz Rocha
    Cruz Rocha is a small settlement located within the municipality of Ribeira Brava.
  • E. Andrade
    Andrade is a common Portuguese and Spanish surname borne by numerous notable figures across fields such as sports, politics, and the arts.
  • 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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4be35a70081909d24d36506d18131 completed April 19, 2026, 11:36 a.m.
Created at: April 10, 2026, 10:25 a.m.