Triple

T13222009
Position Surface form Disambiguated ID Type / Status
Subject Tucker & Dale vs. Evil E314777 entity
Predicate starring P1507 FINISHED
Object Jesse Moss
Jesse Moss is a Canadian actor best known for his roles in horror-comedy and genre films, including a prominent part in "Tucker & Dale vs. Evil."
E1027880 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: Jesse Moss | Statement: [Tucker & Dale vs. Evil, starring, Jesse Moss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jesse Moss
Context triple: [Tucker & Dale vs. Evil, starring, Jesse Moss]
  • A. Caleb Hunt
    Caleb Hunt is an actor known for his role in the film "Afterburn/Aftershock."
  • B. Seth Gordon
    Seth Gordon is an American film and television director known for his work on comedies such as "Horrible Bosses" and the documentary "The King of Kong: A Fistful of Quarters."
  • C. Dean Fleischer-Camp
    Dean Fleischer-Camp is an American filmmaker and editor best known for co-creating the stop-motion character and film series "Marcel the Shell with Shoes On."
  • D. Dan Goor
    Dan Goor is an American television writer and producer best known for co-creating the comedy series "Brooklyn Nine-Nine" and his work on shows like "Parks and Recreation."
  • E. Jared Hess
    Jared Hess is an American filmmaker best known for directing quirky comedy films such as "Napoleon Dynamite" and "Nacho Libre."
  • 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: Jesse Moss
Triple: [Tucker & Dale vs. Evil, starring, Jesse Moss]
Generated description
Jesse Moss is a Canadian actor best known for his roles in horror-comedy and genre films, including a prominent part in "Tucker & Dale vs. Evil."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jesse Moss
Target entity description: Jesse Moss is a Canadian actor best known for his roles in horror-comedy and genre films, including a prominent part in "Tucker & Dale vs. Evil."
  • A. Caleb Hunt
    Caleb Hunt is an actor known for his role in the film "Afterburn/Aftershock."
  • B. Seth Gordon
    Seth Gordon is an American film and television director known for his work on comedies such as "Horrible Bosses" and the documentary "The King of Kong: A Fistful of Quarters."
  • C. Dean Fleischer-Camp
    Dean Fleischer-Camp is an American filmmaker and editor best known for co-creating the stop-motion character and film series "Marcel the Shell with Shoes On."
  • D. Dan Goor
    Dan Goor is an American television writer and producer best known for co-creating the comedy series "Brooklyn Nine-Nine" and his work on shows like "Parks and Recreation."
  • E. Jared Hess
    Jared Hess is an American filmmaker best known for directing quirky comedy films such as "Napoleon Dynamite" and "Nacho Libre."
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf74d708190a61d8ad938653b06 completed April 10, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff24be9881908b96f3e72325e55f completed May 3, 2026, 7:54 a.m.
NEDg Description generation batch_69f7001924d48190af7d430cb258409a completed May 3, 2026, 7:58 a.m.
NED2 Entity disambiguation (via description) batch_69f700cfb43881909c903ec12b15065a completed May 3, 2026, 8:01 a.m.
Created at: April 9, 2026, 9:18 p.m.