Triple

T16850295
Position Surface form Disambiguated ID Type / Status
Subject The Lego Ninjago Movie E409656 entity
Predicate producer P490 FINISHED
Object Dan Lin E83863 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: Dan Lin | Statement: [The Lego Ninjago Movie, producer, Dan Lin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Lin
Context triple: [The Lego Ninjago Movie, producer, Dan Lin]
  • A. Dan Lin chosen
    Dan Lin is a Taiwanese-American film producer and executive known for overseeing major franchises such as The Lego Movie series and various DC and Sherlock Holmes films.
  • B. Allan Lee
    Allan Lee is a film editor best known for his work on projects such as "Doctor Who: The Movie."
  • C. Andrew Adamson
    Andrew Adamson is a New Zealand film director and screenwriter best known for co-directing the first two Shrek films and directing several adaptations in The Chronicles of Narnia series.
  • D. Derek Dreyer
    Derek Dreyer is a prominent computer scientist known for his work in programming languages, type theory, and formal verification.
  • E. Ronny Yu
    Ronny Yu is a Hong Kong-born film director best known internationally for his stylish work on genre films such as "Bride of Chucky" and "Freddy vs. Jason."
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b378dda48190ab81d75f2cfe3ab3 completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2a4c2a881908d2797f6e61792d3 completed May 10, 2026, 5:38 p.m.
Created at: April 10, 2026, 5:24 a.m.