Triple

T12235073
Position Surface form Disambiguated ID Type / Status
Subject Marjorie Nelson E291568 entity
Predicate spouse P13 FINISHED
Object Howard Da Silva E22207 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: Howard Da Silva | Statement: [Marjorie Nelson, spouse, Howard Da Silva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Da Silva
Context triple: [Marjorie Nelson, spouse, Howard Da Silva]
  • A. Howard Da Silva chosen
    Howard Da Silva was an American character actor and singer known for his work on Broadway and in film, including notable roles in classic musicals and dramas.
  • B. Jackson Silva
    Jackson Silva is a fictional jockey who serves as the central protagonist in a narrative focused on horse racing.
  • C. Anthony Santos
    Anthony Santos, better known as Romeo Santos, is an American singer, songwriter, and former lead vocalist of the bachata group Aventura, widely acclaimed as the "King of Bachata."
  • D. Tony Almeida
    Tony Almeida is a key fictional Counter Terrorist Unit agent in the television series "24," known for his complex loyalties and evolving role across multiple seasons.
  • E. Wendell Ramos
    Wendell Ramos is a Filipino actor and comedian best known for his work on television sitcoms and sketch comedy shows.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb2892c81909a97b3ad6ec2c21b completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aaf7b348190865a6a1b6de51753 completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:51 p.m.