Triple

T15731998
Position Surface form Disambiguated ID Type / Status
Subject Clone High E381367 entity
Predicate creator P184 FINISHED
Object Phil Lord E81318 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: Phil Lord | Statement: [Clone High, creator, Phil Lord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phil Lord
Context triple: [Clone High, creator, Phil Lord]
  • A. Phil Lord chosen
    Phil Lord is an American filmmaker, writer, and producer best known for his inventive, comedic work on projects like The Lego Movie and the 21 Jump Street and Spider-Verse films.
  • B. Phil Lord and Christopher Miller
    Phil Lord and Christopher Miller are an American filmmaking duo known for their inventive, comedic work on films like "The Lego Movie," "21 Jump Street," and "Spider-Man: Into the Spider-Verse."
  • C. Paul King
    Paul King is a British filmmaker and screenwriter best known for directing the critically acclaimed Paddington films.
  • D. Paul King
    Paul King is a screenwriter and storyteller known for contributing to the narrative of the classic submarine comedy film "Operation Petticoat."
  • E. Jordan Vogt-Roberts
    Jordan Vogt-Roberts is an American film director best known for helming the 2017 blockbuster monster movie "Kong: Skull Island."
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd3614481908b2694b1d3550058 completed April 16, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9092e25c81909f86a580e78ff7ca completed May 9, 2026, 7:52 p.m.
Created at: April 10, 2026, 4:46 a.m.