Triple

T17015428
Position Surface form Disambiguated ID Type / Status
Subject Sigmund and the Sea Monsters E412807 entity
Predicate hasCharacter P2308 FINISHED
Object Slurp
Slurp is a friendly, comedic sea monster character from the children's television series "Sigmund and the Sea Monsters."
 E1246716 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: Slurp | Statement: [Sigmund and the Sea Monsters, hasCharacter, Slurp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Slurp
Context triple: [Sigmund and the Sea Monsters, hasCharacter, Slurp]
  • A. The Chew
    The Chew is an American daytime television talk show that focused on food, cooking, and lifestyle topics, featuring a panel of celebrity chefs and hosts.
  • B. Kauen
    Kauen is the German name for Kaunas, a major city in Lithuania known for its historical significance and cultural heritage.
  • C. Susch
    Susch is a small Swiss village in the Lower Engadine region of the canton of Graubünden, known for its alpine setting and traditional architecture.
  • D. Makanrushi
    Makanrushi is an uninhabited volcanic island in the Kuril Islands chain of the northwest Pacific Ocean, belonging to Russia.
  • E. Noodle
    Noodle is an unincorporated rural community located in Nolan County, Texas.
  • 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: Slurp
Triple: [Sigmund and the Sea Monsters, hasCharacter, Slurp]
Generated description
Slurp is a friendly, comedic sea monster character from the children's television series "Sigmund and the Sea Monsters."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Slurp
Target entity description: Slurp is a friendly, comedic sea monster character from the children's television series "Sigmund and the Sea Monsters."
  • A. The Chew
    The Chew is an American daytime television talk show that focused on food, cooking, and lifestyle topics, featuring a panel of celebrity chefs and hosts.
  • B. Kauen
    Kauen is the German name for Kaunas, a major city in Lithuania known for its historical significance and cultural heritage.
  • C. Susch
    Susch is a small Swiss village in the Lower Engadine region of the canton of Graubünden, known for its alpine setting and traditional architecture.
  • D. Makanrushi
    Makanrushi is an uninhabited volcanic island in the Kuril Islands chain of the northwest Pacific Ocean, belonging to Russia.
  • E. Noodle
    Noodle is an unincorporated rural community located in Nolan County, Texas.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d47f198c8190b0473f638101f606 completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b4ba2a88190a49d355836ff1dcf completed May 10, 2026, 11:56 p.m.
NEDg Description generation batch_6a011d5d720c8190ba6f7146a8a5f7f4 completed May 11, 2026, 12:05 a.m.
NED2 Entity disambiguation (via description) batch_6a011dd998888190a60d3880fd5c20c2 completed May 11, 2026, 12:07 a.m.
Created at: April 10, 2026, 5:33 a.m.