Triple

T16850349
Position Surface form Disambiguated ID Type / Status
Subject The Lego Ninjago Movie E409656 entity
Predicate voiceCastMember P9616 FINISHED
Object Ali Wong E239531 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: Ali Wong | Statement: [The Lego Ninjago Movie, voiceCastMember, Ali Wong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ali Wong
Context triple: [The Lego Ninjago Movie, voiceCastMember, Ali Wong]
  • A. Ali Wong chosen
    Ali Wong is an American stand-up comedian, actress, and writer known for her Netflix specials like "Baby Cobra" and her roles in film and television.
  • B. Tiffany Haddish
    Tiffany Haddish is an American stand-up comedian and actress known for her breakout role in "Girls Trip" and her energetic, unfiltered comedic style.
  • C. Phoebe Robinson
    Phoebe Robinson is an American comedian, writer, and actress best known as the co-creator of the podcast and HBO series "2 Dope Queens" and for her sharp, socially conscious stand-up.
  • D. Amber Ruffin
    Amber Ruffin is an American comedian, writer, and television host best known for her work on "Late Night with Seth Meyers" and for creating and starring in "The Amber Ruffin Show."
  • E. Natasha Leggero
    Natasha Leggero is an American comedian, actress, and writer known for her sharp, satirical stand-up and numerous television and film comedy roles.
  • 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_6a00bb1f02648190937c692af83843dc completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:24 a.m.