Triple

T14253385
Position Surface form Disambiguated ID Type / Status
Subject Octonauts E353324 entity
Predicate hasCharacter P2308 FINISHED
Object Dashi
Dashi is a tech-savvy dachshund and the Octonauts’ photographer and IT expert who manages their communications and data.
E1089659 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: Dashi | Statement: [Octonauts, hasCharacter, Dashi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dashi
Context triple: [Octonauts, hasCharacter, Dashi]
  • A. Dashi
    Dashi is a metro station on Guangzhou's Line 7 serving the Panyu District area of Guangzhou, China.
  • B. Nori
    Nori is a Dwarf of Durin's Folk and a member of Thorin Oakenshield's company who survived the Quest of Erebor in J.R.R. Tolkien's legendarium.
  • C. Nori
    Nori is a given name, often used as a short or affectionate form of longer names such as Nora.
  • D. Oshiage
    Oshiage is a district in Sumida, Tokyo, best known as the location of the Tokyo Skytree and its surrounding commercial complex.
  • E. Ma Kai
    Ma Kai is a Chinese politician who served as a Vice Premier of the State Council and played a key role in the country’s economic and financial policymaking.
  • 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: Dashi
Triple: [Octonauts, hasCharacter, Dashi]
Generated description
Dashi is a tech-savvy dachshund and the Octonauts’ photographer and IT expert who manages their communications and data.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dashi
Target entity description: Dashi is a tech-savvy dachshund and the Octonauts’ photographer and IT expert who manages their communications and data.
  • A. Dashi
    Dashi is a metro station on Guangzhou's Line 7 serving the Panyu District area of Guangzhou, China.
  • B. Nori
    Nori is a Dwarf of Durin's Folk and a member of Thorin Oakenshield's company who survived the Quest of Erebor in J.R.R. Tolkien's legendarium.
  • C. Nori
    Nori is a given name, often used as a short or affectionate form of longer names such as Nora.
  • D. Oshiage
    Oshiage is a district in Sumida, Tokyo, best known as the location of the Tokyo Skytree and its surrounding commercial complex.
  • E. Ma Kai
    Ma Kai is a Chinese politician who served as a Vice Premier of the State Council and played a key role in the country’s economic and financial policymaking.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6297f38c819090d7c7fd8bfa2e9e completed April 14, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd325c98288190ba035fb5cc5bcf6b completed May 8, 2026, 12:46 a.m.
NEDg Description generation batch_69fd33cba18481908f2dfe358017f11b completed May 8, 2026, 12:52 a.m.
NED2 Entity disambiguation (via description) batch_69fd346ffb9c81909ec28e514ea5451b completed May 8, 2026, 12:55 a.m.
Created at: April 10, 2026, 1:09 a.m.