Triple

T15368206
Position Surface form Disambiguated ID Type / Status
Subject Mini's First Time E367470 entity
Predicate director P255 FINISHED
Object Nick Guthe
Nick Guthe is an American film director and screenwriter best known for his dark comedy film "Mini's First Time."
 E1154542 NE FINISHED

How this triple was built (4 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, director, Nick Guthe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nick Guthe
Context triple: [Mini's First Time, director, Nick Guthe]
  • A. 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."
  • B. 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.
  • C. John Christensen
    John Christensen is a relatively common personal name shared by multiple individuals across various professions, including sports, academia, and the arts.
  • D. 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."
  • E. Paul Groesse
    Paul Groesse was an Academy Award–winning Hollywood art director known for his work on classic mid-20th-century films.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nick Guthe
Triple: [Mini's First Time, director, Nick Guthe]
Generated description
Nick Guthe is an American film director and screenwriter best known for his dark comedy film "Mini's First Time."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nick Guthe
Target entity description: Nick Guthe is an American film director and screenwriter best known for his dark comedy film "Mini's First Time."
  • A. 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."
  • B. 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.
  • C. John Christensen
    John Christensen is a relatively common personal name shared by multiple individuals across various professions, including sports, academia, and the arts.
  • D. 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."
  • E. Paul Groesse
    Paul Groesse was an Academy Award–winning Hollywood art director known for his work on classic mid-20th-century films.
  • F. None of above. chosen

Provenance (5 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_69ff13457418819088232270b092c969 completed May 9, 2026, 10:58 a.m.
NEDg Description generation batch_69ff142e99e081909d01cac0416f1bde completed May 9, 2026, 11:02 a.m.
NED2 Entity disambiguation (via description) batch_69ff14c61eb08190ba854b541eb1ce14 completed May 9, 2026, 11:04 a.m.
Created at: April 10, 2026, 3:18 a.m.