Triple

T5193428
Position Surface form Disambiguated ID Type / Status
Subject Furious 7 E117210 entity
Predicate featuresCharacter P626 FINISHED
Object Roman Pearce E241105 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: Roman Pearce | Statement: [Furious 7, featuresCharacter, Roman Pearce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roman Pearce
Context triple: [Furious 7, featuresCharacter, Roman Pearce]
  • A. Roman Pearce chosen
    Roman Pearce is a fast-talking, comedic street racer and member of Dominic Toretto's crew in the Fast & Furious film franchise.
  • B. Frank Pearce
    Frank Pearce is a video game developer and co-founder of Blizzard Entertainment, known for helping build some of the most influential franchises in modern gaming.
  • C. Alexander Parris
    Alexander Parris was a prominent 19th-century American architect and engineer best known for his austere Greek Revival and early granite public buildings in New England.
  • D. Ian Bryce
    Ian Bryce is a British film producer known for his work on major Hollywood blockbusters such as Saving Private Ryan and the Transformers series.
  • E. Tony Pierce-Roberts
    Tony Pierce-Roberts is a British cinematographer best known for his work on acclaimed period dramas, particularly his collaborations with Merchant Ivory Productions.
  • 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_69bd4462ed04819084fcb01eb9d2fa74 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79f142488190bc6c57b8ff7ef894 completed March 20, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe58344881908386713f2cf5749b completed March 21, 2026, 8:23 p.m.
Created at: March 20, 2026, 1:46 p.m.