Triple

T16148104
Position Surface form Disambiguated ID Type / Status
Subject Why Women Kill E391838 entity
Predicate stars P1956 FINISHED
Object Kirby Howell-Baptiste E586616 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: Kirby Howell-Baptiste | Statement: [Why Women Kill, stars, Kirby Howell-Baptiste]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kirby Howell-Baptiste
Context triple: [Why Women Kill, stars, Kirby Howell-Baptiste]
  • A. Kirby Howell-Baptiste chosen
    Kirby Howell-Baptiste is a British actress known for her roles in television series such as "The Good Place," "Killing Eve," and "Veronica Mars," as well as in films like "Cruella."
  • B. Denzel Baptiste
    Denzel Baptiste is a music producer and songwriter best known as one half of the production duo Take a Daytrip, which has worked on numerous chart-topping hip-hop and pop tracks.
  • C. Jayden Fowora-Knight
    Jayden Fowora-Knight is a British actor best known for his role as Prince Phillip in Disney’s fantasy film "The Nutcracker and the Four Realms."
  • D. Alex Hibbert
    Alex Hibbert is an American actor best known for his acclaimed performance as young Chiron in the Oscar-winning film "Moonlight."
  • E. Michael Peoples
    Michael Peoples is a screenwriter best known for his work on the science fiction film "Enemy Mine."
  • 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_69fff7a9ebf08190aa21cdff051f4ba2 completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:01 a.m.