Triple

T5929513
Position Surface form Disambiguated ID Type / Status
Subject Letterkenny E131899 entity
Predicate mainCharacter P1183 FINISHED
Object Daryl E242538 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: Daryl | Statement: [Letterkenny, mainCharacter, Daryl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daryl
Context triple: [Letterkenny, mainCharacter, Daryl]
  • A. Daryl chosen
    Daryl is a given name commonly used for people of any gender, notably borne by figures in sports, entertainment, and public life.
  • B. Darryl
    Darryl is a masculine given name most notably associated with influential American film producer and studio executive Darryl F. Zanuck.
  • C. Darrell
    Darrell is the central protagonist of the film "In the Mix," around whom the story’s main events and conflicts revolve.
  • D. Darren
    Darren is a masculine given name commonly used in English-speaking countries.
  • E. Darren
    Darren is a fictional continent located on the planet Skaro in the Doctor Who universe.
  • 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_69c0c059b08c8190aec3a8ee0119abed completed March 23, 2026, 4:23 a.m.
Created at: March 22, 2026, 4 p.m.