Triple

T15732180
Position Surface form Disambiguated ID Type / Status
Subject The Afterparty E381370 entity
Predicate starring P1507 FINISHED
Object Poppy Liu E1021508 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: Poppy Liu | Statement: [The Afterparty, starring, Poppy Liu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poppy Liu
Context triple: [The Afterparty, starring, Poppy Liu]
  • A. Poppy Liu chosen
    Poppy Liu is a Chinese-American actor and producer known for their scene-stealing television roles in series such as "Hacks," "Sunnyside," and "Dead Ringers."
  • B. Stephanie Hsu
    Stephanie Hsu is an American actress best known for her acclaimed, genre-bending performance as Joy/Jobu Tupaki in the film "Everything Everywhere All at Once."
  • C. Poppy Li
    Poppy Li is a brilliant yet socially awkward lead engineer and game developer in the comedy series "Mythic Quest," known for her creative genius and chaotic partnership with creative director Ian Grimm.
  • D. Liu Yifei
    Liu Yifei is a Chinese-American actress, singer, and model best known internationally for starring as the title character in Disney’s live-action film "Mulan."
  • E. Laura Harrier
    Laura Harrier is an American actress and model best known for her roles in films like "Spider-Man: Homecoming" and "BlacKkKlansman."
  • 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_69ff8769aaac8190b41141eaa5ac6944 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:46 a.m.