Triple

T10604607
Position Surface form Disambiguated ID Type / Status
Subject El Camino: A Breaking Bad Movie E275840 entity
Predicate starring P1507 FINISHED
Object Matt Jones E671176 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: Matt Jones | Statement: [El Camino: A Breaking Bad Movie, starring, Matt Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matt Jones
Context triple: [El Camino: A Breaking Bad Movie, starring, Matt Jones]
  • A. Matt Jones chosen
    Matt Jones is an American actor and comedian best known for his roles in television series like "Breaking Bad" and for his extensive voice work in animated shows and video games.
  • B. Matt Jones
    Matt Jones is a British musician best known as a former member of the rock band Beady Eye, formed by ex-Oasis members.
  • C. Mark Jones
    Mark Jones was an English footballer for Manchester United and England who died in the 1958 Munich air disaster.
  • D. Jeff Jones
    Jeff Jones was an influential American fantasy and comic book artist renowned for his atmospheric, painterly style and evocative cover illustrations.
  • E. Jeff Jones
    Jeff Jones is a Canadian musician best known as the original bassist for the rock band Rush before being replaced early in the group's history.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df4992248190b640d743ccf02c82 completed April 8, 2026, 11:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95eaffcd0819098e0a06a731b602f completed April 10, 2026, 8:33 p.m.
Created at: April 8, 2026, 7:32 p.m.