Triple

T16840494
Position Surface form Disambiguated ID Type / Status
Subject Transformers: Rise of the Beasts E409395 entity
Predicate featuresVoice P18510 FINISHED
Object David Sobolov E1109714 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: David Sobolov | Statement: [Transformers: Rise of the Beasts, featuresVoice, David Sobolov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Sobolov
Context triple: [Transformers: Rise of the Beasts, featuresVoice, David Sobolov]
  • A. David Sobolov chosen
    David Sobolov is a Canadian voice actor best known for his work in animated series and video games, particularly in science fiction and action franchises.
  • B. Michael Seresin
    Michael Seresin is a New Zealand-born cinematographer and film director known for his visually striking work on major films such as "Dawn of the Planet of the Apes" and "Harry Potter and the Prisoner of Azkaban."
  • C. Alec Miloslavsky
    Alec Miloslavsky is a technology entrepreneur best known as a co-founder of the customer experience and contact center software company Genesys.
  • D. Martin Obzina
    Martin Obzina was a film art director known for his set design work on classic early 20th-century cinema.
  • E. Mike Sokolsky
    Mike Sokolsky is a co-founder of the online education platform Udacity, known for its technology-focused courses and nanodegree programs.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b3508ecc81909c0af299e07f4b31 completed April 18, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb177e288190b525e6d239892d26 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:24 a.m.