Triple

T16147992
Position Surface form Disambiguated ID Type / Status
Subject The PJs E391836 entity
Predicate voiceActor P1507 FINISHED
Object Cassi Davis E708336 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: Cassi Davis | Statement: [The PJs, voiceActor, Cassi Davis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cassi Davis
Context triple: [The PJs, voiceActor, Cassi Davis]
  • A. Cassi Davis chosen
    Cassi Davis is an American actress best known for her comedic roles in Tyler Perry’s films and television series, particularly as Ella Payne in "House of Payne."
  • B. Cassie Davis
    Cassie Davis is an Australian pop and R&B singer-songwriter and producer known for her energetic singles in the late 2000s.
  • C. Kisha Davis
    Kisha Davis is the central protagonist of the parody horror-comedy film "A Haunted House," around whom the movie’s supernatural misadventures revolve.
  • D. Cassie Stuart
    Cassie Stuart is a determined and empathetic detective in the British crime drama series "Unforgotten," known for meticulously investigating long-unsolved cold cases.
  • E. Lisa Davis
    Lisa Davis is a British-American actress best known for voicing Anita in Disney’s animated film "One Hundred and One Dalmatians."
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21d9551e081908391061b092ff31b completed April 17, 2026, 11:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a000ec7cc0881909685923113eaba25 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:01 a.m.