Triple

T13259545
Position Surface form Disambiguated ID Type / Status
Subject Jeff Baena E315751 entity
Predicate notableWork P4 FINISHED
Object Joshy
Joshy is a 2016 dark comedy film written and directed by Jeff Baena that follows a group of friends on a drug-fueled getaway after a bachelor party goes awry.
 E1030024 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: Joshy | Statement: [Jeff Baena, notableWork, Joshy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Joshy
Context triple: [Jeff Baena, notableWork, Joshy]
  • A. Joshy
    Joshy is a casual, affectionate nickname commonly used for someone named Josh.
  • B. Jory
    Jory is a fictional character appearing in Émile Zola’s novel "L’Œuvre," part of his Rougon-Macquart series exploring art, ambition, and society in 19th-century France.
  • C. Jory
    Jory is a surname most notably associated with Victor Jory, a Canadian-born American actor known for his distinctive voice and frequent roles as a villain in mid-20th-century film and television.
  • D. Jowny
    Jowny is a music producer associated with the artist Nibiru.
  • E. Jussy
    Jussy is a rural municipality in western Switzerland known for its vineyards and countryside within the canton of Geneva.
  • 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: Joshy
Triple: [Jeff Baena, notableWork, Joshy]
Generated description
Joshy is a 2016 dark comedy film written and directed by Jeff Baena that follows a group of friends on a drug-fueled getaway after a bachelor party goes awry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Joshy
Target entity description: Joshy is a 2016 dark comedy film written and directed by Jeff Baena that follows a group of friends on a drug-fueled getaway after a bachelor party goes awry.
  • A. Joshy
    Joshy is a casual, affectionate nickname commonly used for someone named Josh.
  • B. Jory
    Jory is a fictional character appearing in Émile Zola’s novel "L’Œuvre," part of his Rougon-Macquart series exploring art, ambition, and society in 19th-century France.
  • C. Jory
    Jory is a surname most notably associated with Victor Jory, a Canadian-born American actor known for his distinctive voice and frequent roles as a villain in mid-20th-century film and television.
  • D. Jowny
    Jowny is a music producer associated with the artist Nibiru.
  • E. Jussy
    Jussy is a rural municipality in western Switzerland known for its vineyards and countryside within the canton of Geneva.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f778088819082b8a596c04bfe02 completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a4612cc8190b45673a3994cee18 completed May 3, 2026, 8:41 a.m.
NEDg Description generation batch_69f70c42d5008190bcd6275054637448 completed May 3, 2026, 8:50 a.m.
NED2 Entity disambiguation (via description) batch_69f70ce60a7081908f9498fcfec98e90 completed May 3, 2026, 8:52 a.m.
Created at: April 9, 2026, 9:25 p.m.