Triple

T15368207
Position Surface form Disambiguated ID Type / Status
Subject Mini's First Time E367470 entity
Predicate writer P1360 FINISHED
Object Nick Guthe E1154542 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: Nick Guthe | Statement: [Mini's First Time, writer, Nick Guthe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nick Guthe
Context triple: [Mini's First Time, writer, Nick Guthe]
  • A. Nick Guthe chosen
    Nick Guthe is an American film director and screenwriter best known for his dark comedy film "Mini's First Time."
  • B. Mark Gustafson
    Mark Gustafson is an American stop-motion animation director and animator best known for co-directing Guillermo del Toro's acclaimed film "Pinocchio."
  • C. Kurt Jensen
    Kurt Jensen was a microbiologist known for co-developing the Lowenstein–Jensen medium, a key culture medium used in the diagnosis of tuberculosis.
  • D. John Christensen
    John Christensen is a relatively common personal name shared by multiple individuals across various professions, including sports, academia, and the arts.
  • E. Kevin Nolting
    Kevin Nolting is an American film editor best known for his work on Pixar animated features, including the Academy Award-winning film "Up."
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e4a7cdc8190b7b48c97e774c306 completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a6991148190b522684b35c07b1a completed May 9, 2026, 11:28 a.m.
Created at: April 10, 2026, 3:18 a.m.