Triple

T5929524
Position Surface form Disambiguated ID Type / Status
Subject Letterkenny E131899 entity
Predicate portrayedBy P1507 FINISHED
Object Jacob Tierney E554984 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: Jacob Tierney | Statement: [Letterkenny, portrayedBy, Jacob Tierney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jacob Tierney
Context triple: [Letterkenny, portrayedBy, Jacob Tierney]
  • A. Jacob Tierney chosen
    Jacob Tierney is a Canadian actor, writer, and director best known as the co-creator and creative force behind the comedy series "Letterkenny."
  • B. Lee Thompson Young
    Lee Thompson Young was an American actor best known for his lead role in the Disney Channel series "The Famous Jett Jackson" and later work on shows like "Rizzoli & Isles."
  • C. Gabriel Macht
    Gabriel Macht is an American actor best known for his lead role as Harvey Specter in the television series "Suits" and for portraying the title character in the film "The Spirit."
  • D. Mateo Mullan
    Mateo Mullan was an architect known for his work on the historic church Santísima Trinidad.
  • E. Cameron Labine
    Cameron Labine is a Canadian screenwriter and filmmaker known for his work in independent film and television, and as the brother of actor Tyler Labine.
  • 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_69c0085b75e88190a632f9691f9da48b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0389ac4b881908d551e7e29f89888 completed March 22, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3affd748190a37e3cc60e58d6a6 completed March 23, 2026, 6:54 a.m.
Created at: March 22, 2026, 4 p.m.