Triple

T15624645
Position Surface form Disambiguated ID Type / Status
Subject Monsters at Work E375648 entity
Predicate mainCharacter P1183 FINISHED
Object Fritz
Fritz is a comedic monster character from the animated series "Monsters at Work," known for his role as the enthusiastic and quirky supervisor of the MIFT maintenance team at Monsters, Inc.
E1167730 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: Fritz | Statement: [Monsters at Work, mainCharacter, Fritz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fritz
Context triple: [Monsters at Work, mainCharacter, Fritz]
  • A. Fritz
    Fritz is an individual known primarily as the offspring of Fifi.
  • B. Fritz
    Fritz is the hunchbacked assistant to Dr. Frankenstein in the 1931 horror film "Frankenstein," known for helping to procure the monster’s body parts and brain.
  • C. Fritz
    Fritz London was a German-born theoretical physicist best known for his pioneering work on quantum mechanics and the theory of intermolecular forces, including London dispersion forces.
  • D. Fritz
    Fritz is a masculine given name of German origin commonly used in German-speaking countries.
  • E. Fritz
    Fritz is one of the animatronic macaw hosts in Walt Disney’s Enchanted Tiki Room attraction at Disney theme parks.
  • 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: Fritz
Triple: [Monsters at Work, mainCharacter, Fritz]
Generated description
Fritz is a comedic monster character from the animated series "Monsters at Work," known for his role as the enthusiastic and quirky supervisor of the MIFT maintenance team at Monsters, Inc.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fritz
Target entity description: Fritz is a comedic monster character from the animated series "Monsters at Work," known for his role as the enthusiastic and quirky supervisor of the MIFT maintenance team at Monsters, Inc.
  • A. Fritz
    Fritz is an individual known primarily as the offspring of Fifi.
  • B. Fritz
    Fritz is the hunchbacked assistant to Dr. Frankenstein in the 1931 horror film "Frankenstein," known for helping to procure the monster’s body parts and brain.
  • C. Fritz
    Fritz London was a German-born theoretical physicist best known for his pioneering work on quantum mechanics and the theory of intermolecular forces, including London dispersion forces.
  • D. Fritz
    Fritz is a masculine given name of German origin commonly used in German-speaking countries.
  • E. Fritz
    Fritz is one of the animatronic macaw hosts in Walt Disney’s Enchanted Tiki Room attraction at Disney theme parks.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e9cfd94819091459aa17a002eaf completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f3f65dc8190ac94db1d4d53d77f completed May 9, 2026, 4:22 p.m.
NEDg Description generation batch_69ff60188df48190a1cc891757a795d0 completed May 9, 2026, 4:26 p.m.
NED2 Entity disambiguation (via description) batch_69ff60938ef081908cd88cf8242bc785 completed May 9, 2026, 4:28 p.m.
Created at: April 10, 2026, 4:14 a.m.