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.