Triple

T22803064
Position Surface form Disambiguated ID Type / Status
Subject Eureka the kitten E564452 entity
Predicate name P16 FINISHED
Object Eureka
Eureka is a fictional kitten character, best known as Marie's curious and playful friend in Disney Junior's animated series "Eureka!".
E1555755 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: Eureka | Statement: [Eureka the kitten, name, Eureka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eureka
Context triple: [Eureka the kitten, name, Eureka]
  • A. Eureka
    Eureka is a science fiction television series that follows the quirky residents of a secret high-tech town where brilliant scientists’ experiments frequently go awry.
  • B. Eureka
    Eureka is an experimental rock and avant-garde album by American musician and producer Jim O'Rourke, noted for its intricate arrangements and genre-blending sound.
  • C. Eureka
    Eureka is a small, remote research and weather station in the Canadian High Arctic, known as one of the northernmost permanently inhabited places in the world.
  • D. Eureka
    Eureka is a small city in central Illinois best known as the home of Eureka College, where Ronald Reagan studied.
  • E. Eureka
    "Eureka" is a 1983 psychological drama film directed by Nicolas Roeg, known for its intense exploration of greed and obsession and featuring Theresa Russell in a prominent role.
  • 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: Eureka
Triple: [Eureka the kitten, name, Eureka]
Generated description
Eureka is a fictional kitten character, best known as Marie's curious and playful friend in Disney Junior's animated series "Eureka!".
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eureka
Target entity description: Eureka is a fictional kitten character, best known as Marie's curious and playful friend in Disney Junior's animated series "Eureka!".
  • A. Eureka
    Eureka is a science fiction television series that follows the quirky residents of a secret high-tech town where brilliant scientists’ experiments frequently go awry.
  • B. Eureka
    Eureka is a small city in eastern Missouri, United States, known for hosting the Six Flags St. Louis amusement park and serving as a suburban community near the St. Louis metropolitan area.
  • C. Eureka
    Eureka is a home appliance brand known primarily for its vacuum cleaners and floor-care products.
  • D. Eureka
    Eureka is a small rural community located in Pictou County in the Canadian province of Nova Scotia.
  • E. Eureka
    Eureka is a small, remote research and weather station in the Canadian High Arctic, known as one of the northernmost permanently inhabited places in the world.
  • 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_69e245823f4c8190ade442cdcc2c224a completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cdf1e308190a05d0f61856be544 completed April 29, 2026, 3:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b9e9b35e08190a3ad478355279253 completed May 18, 2026, 11:19 p.m.
NEDg Description generation batch_6a0ba2386bf88190911fe2cd9870023a completed May 18, 2026, 11:35 p.m.
NED2 Entity disambiguation (via description) batch_6a0ba2bae9888190a8d115579643695b completed May 18, 2026, 11:37 p.m.
Created at: April 17, 2026, 3:31 p.m.