Triple

T15358137
Position Surface form Disambiguated ID Type / Status
Subject Lord Garmadon E367215 entity
Predicate portrayedBy P1507 FINISHED
Object Justin Theroux E141145 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: Justin Theroux | Statement: [Lord Garmadon, portrayedBy, Justin Theroux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Justin Theroux
Context triple: [Lord Garmadon, portrayedBy, Justin Theroux]
  • A. Justin Theroux chosen
    Justin Theroux is an American actor, screenwriter, and director known for roles in films like "Mulholland Drive" and the series "The Leftovers," as well as for co-writing comedies such as "Tropic Thunder" and "Iron Man 2."
  • B. Mattias Ferrell
    Mattias Ferrell is one of the sons of American actor and comedian Will Ferrell.
  • C. Dax Shepard
    Dax Shepard is an American actor, comedian, writer, director, and podcast host known for roles in films like "Without a Paddle" and the TV series "Parenthood," as well as for hosting the popular podcast "Armchair Expert."
  • D. Brad Fuller
    Brad Fuller is a film editor known for his work on the documentary "He Named Me Malala."
  • E. Brad Fuller
    Brad Fuller is an American film and television producer best known for co-founding Platinum Dunes and producing numerous horror franchises, including remakes of classic slasher films and projects like The Purge.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e2d4934819097fc63603964217c completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2cec4f2481908fae5209bfd48dcf completed May 9, 2026, 12:47 p.m.
Created at: April 10, 2026, 3:18 a.m.