Triple

T22451221
Position Surface form Disambiguated ID Type / Status
Subject Shoresy E554993 entity
Predicate executiveProducer P7225 FINISHED
Object Jared Keeso 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: Jared Keeso | Statement: [Shoresy, executiveProducer, Jared Keeso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jared Keeso
Context triple: [Shoresy, executiveProducer, Jared Keeso]
  • A. Jared Keeso chosen
    Jared Keeso is a Canadian actor, writer, and producer best known for creating and starring in the comedy series "Letterkenny."
  • B. Jared
    Jared is the given name of Jared Diamond, an American geographer, historian, and author best known for his Pulitzer Prize–winning book "Guns, Germs, and Steel."
  • C. Jared
    Jared is a village located in Pakistan’s scenic Kaghan Valley, known for its mountainous landscapes and tourism.
  • D. Jared
    Jared is a fictional character from the British dark comedy television series "The Life and Times of Vivienne Vyle."
  • E. Jared
    Jared is a masculine given name of Hebrew origin meaning "descent" or "he who descends."
  • 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b4ba6a88190a0a79e2c20fa8c08 completed April 29, 2026, 1:13 a.m.
Created at: April 16, 2026, 8:48 p.m.