Triple

T14213686
Position Surface form Disambiguated ID Type / Status
Subject Epic E352292 entity
Predicate voiceActorOf P13156 FINISHED
Object Josh Hutcherson as Nod E71031 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: Josh Hutcherson as Nod | Statement: [Epic, voiceActorOf, Josh Hutcherson as Nod]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Josh Hutcherson as Nod
Context triple: [Epic, voiceActorOf, Josh Hutcherson as Nod]
  • A. Josh Hutcherson chosen
    Josh Hutcherson is an American actor best known for his role as Peeta Mellark in "The Hunger Games" film series.
  • B. Lucas Grabeel
    Lucas Grabeel is an American actor and singer best known for playing Ryan Evans in Disney's High School Musical film series.
  • C. Cal Hudson
    Cal Hudson is a Starfleet officer in the Star Trek universe who defects to join the Maquis resistance movement against the Cardassians.
  • D. Noah Keen
    Noah Keen was a British character actor known for his numerous supporting roles in film and television from the 1950s through the 1990s.
  • E. Doug Hutchison
    Doug Hutchison is an American character actor best known for his roles in films like "The Green Mile" and TV series such as "The X-Files" and "Lost."
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de620f07bc81909212dcd1c91b5f95 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd1959f3d481909c15730bbd6f4748 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:06 a.m.