Triple

T3088538
Position Surface form Disambiguated ID Type / Status
Subject Muppet*Vision 3D E64431 entity
Predicate featuresCharacter P626 FINISHED
Object Beaker
Beaker is a high-strung, squeaky-voiced lab assistant from The Muppets, known for his nervous demeanor and frequent mishaps in scientific experiments.
 E326088 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: Beaker | Statement: [Muppet*Vision 3D, featuresCharacter, Beaker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beaker
Context triple: [Muppet*Vision 3D, featuresCharacter, Beaker]
  • A. Jug
    "Jug" is the widely used nickname for the Republic P-47 Thunderbolt, a rugged and heavily armed American World War II fighter-bomber aircraft.
  • B. the Teapot
    The Teapot is a prominent asterism in the constellation Sagittarius whose stars outline the shape of a traditional teapot in the night sky.
  • C. Britta
    Britta is a feminine given name of Germanic origin commonly used in German-speaking and Scandinavian countries.
  • D. Ebeko
    Ebeko is an active stratovolcano located on Paramushir Island in Russia's Kuril Islands, known for its frequent explosive eruptions and ash emissions.
  • E. Claret Jug
    The Claret Jug is the iconic silver trophy awarded annually to the winner of golf’s Open Championship, symbolizing one of the sport’s oldest and most prestigious titles.
  • 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: Beaker
Triple: [Muppet*Vision 3D, featuresCharacter, Beaker]
Generated description
Beaker is a high-strung, squeaky-voiced lab assistant from The Muppets, known for his nervous demeanor and frequent mishaps in scientific experiments.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beaker
Target entity description: Beaker is a high-strung, squeaky-voiced lab assistant from The Muppets, known for his nervous demeanor and frequent mishaps in scientific experiments.
  • A. Jug
    "Jug" is the widely used nickname for the Republic P-47 Thunderbolt, a rugged and heavily armed American World War II fighter-bomber aircraft.
  • B. the Teapot
    The Teapot is a prominent asterism in the constellation Sagittarius whose stars outline the shape of a traditional teapot in the night sky.
  • C. Britta
    Britta is a feminine given name of Germanic origin commonly used in German-speaking and Scandinavian countries.
  • D. Ebeko
    Ebeko is an active stratovolcano located on Paramushir Island in Russia's Kuril Islands, known for its frequent explosive eruptions and ash emissions.
  • E. Claret Jug
    The Claret Jug is the iconic silver trophy awarded annually to the winner of golf’s Open Championship, symbolizing one of the sport’s oldest and most prestigious titles.
  • 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_69ad857c97d88190b26f9b1c90839c77 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada20b99a4819090c3d3e08ed556ad completed March 8, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f8a1fdc48190ae1c2fb9e5198336 completed March 11, 2026, 11:20 p.m.
NEDg Description generation batch_69b1f9608e88819098f4044e54e0d908 completed March 11, 2026, 11:23 p.m.
NED2 Entity disambiguation (via description) batch_69b1fe3c8f408190988e7c7e3a51057e completed March 11, 2026, 11:43 p.m.
Created at: March 8, 2026, 3:03 p.m.