Triple

T3003125
Position Surface form Disambiguated ID Type / Status
Subject Darryl E81835 entity
Predicate hasVariant P455 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: [Darryl, hasVariant, Daryl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daryl
Context triple: [Darryl, hasVariant, 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. Daryl Jackson
    Daryl Jackson is a prominent Australian architect known for designing major public and sporting facilities, including Melbourne’s Marvel Stadium.
  • D. Dale
    Dale is a rebuilt human city in northern Middle-earth, located near the Lonely Mountain, that serves as a key setting in J.R.R. Tolkien’s legendarium and its film adaptations.
  • E. Dale
    Dale is one half of the classic chipmunk duo Chip 'n' Dale from Disney's Mickey Mouse universe, known for his goofy, fun-loving personality and mischief.
  • 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_69ad8b1c4de88190a83b7cefaa1f2842 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a1371c481909e214234afed1a65 completed March 8, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1dea3a31481908db6871cf6c37781 completed March 11, 2026, 9:29 p.m.
Created at: March 8, 2026, 2:59 p.m.