Triple

T23023113
Position Surface form Disambiguated ID Type / Status
Subject Loser E573222 entity
Predicate starring P1507 FINISHED
Object Jimmi Simpson NE NERFINISHED

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: Jimmi Simpson | Statement: [Loser, starring, Jimmi Simpson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jimmi Simpson
Context triple: [Loser, starring, Jimmi Simpson]
  • A. Jimmi Simpson chosen
    Jimmi Simpson is an American actor known for his versatile character roles in film and television, including prominent performances in series like Westworld, It's Always Sunny in Philadelphia, and House of Cards.
  • B. Dane Simpson
    Dane Simpson is an Australian Aboriginal stand-up comedian known for his storytelling style and appearances on national comedy platforms.
  • C. Jeff Simpson
    Jeff Simpson is a film and television producer known for his work on projects such as the animated biographical comedy "A Liar’s Autobiography: The Untrue Story of Monty Python’s Graham Chapman."
  • D. Jackie Simpson
    Jackie Simpson is a minor supporting character in the 1997 romantic comedy-drama film "As Good as It Gets."
  • E. Jayme Roy
    Jayme Roy is a cinematographer best known for serving as director of photography on Michael Moore’s documentary film "Capitalism: A Love Story."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b821008190b0e09cb02092aae1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183ea23088190b2f42d9bf01514ac completed April 29, 2026, 4:07 a.m.
Created at: April 17, 2026, 3:52 p.m.