Triple

T2995659
Position Surface form Disambiguated ID Type / Status
Subject Jockey E81058 entity
Predicate starring P1507 FINISHED
Object Molly Parker E138123 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: Molly Parker | Statement: [Jockey, starring, Molly Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Molly Parker
Context triple: [Jockey, starring, Molly Parker]
  • A. Molly Parker chosen
    Molly Parker is a Canadian actress known for her nuanced performances in film and television, including prominent roles in series such as House of Cards and Deadwood.
  • B. Jessica Hynes
    Jessica Hynes is an English actress, writer, and comedian best known for co-creating and starring in the sitcom "Spaced" and for her roles in British television and film.
  • C. Julia Ormond
    Julia Ormond is a British actress known for her roles in films such as "Legends of the Fall," "Sabrina," and "The Curious Case of Benjamin Button."
  • D. Kelly Reilly
    Kelly Reilly is an English actress known for her roles in films like "Flight" and the "Sherlock Holmes" series, as well as the television drama "Yellowstone."
  • E. Anna Friel
    Anna Friel is an English actress known for her versatile performances in television, film, and theatre, including her acclaimed role in the series "Pushing Daisies."
  • 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_69ad8b187fc8819085914d3c9ea3142d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99f2e5888190b3346012e2578dab completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f8629c7c8190b597255ab8f391af completed March 11, 2026, 11:18 p.m.
Created at: March 8, 2026, 2:59 p.m.