Triple

T9653034
Position Surface form Disambiguated ID Type / Status
Subject Sofia the First E233381 entity
Predicate hasCharacter P2308 FINISHED
Object Baileywick
Baileywick is the royal steward in the animated series "Sofia the First," known for his dedication to keeping the castle running smoothly.
 E812337 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: Baileywick | Statement: [Sofia the First, hasCharacter, Baileywick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Baileywick
Context triple: [Sofia the First, hasCharacter, Baileywick]
  • A. Elswick
    Elswick is a district in Newcastle upon Tyne, England, historically known as a major industrial and shipbuilding center.
  • B. Wicken
    Wicken is a small rural village in East Cambridgeshire, England, best known for its proximity to the National Trust’s Wicken Fen nature reserve, one of the country’s oldest wetlands.
  • C. Rackerby
    Rackerby is a small unincorporated rural community in Northern California known for its forested surroundings and quiet, sparsely populated setting.
  • D. Bakerville
    Bakerville is a small village within the town of New Hartford in Litchfield County, Connecticut.
  • E. Harrodstown
    Harrodstown was the original pioneer settlement that later became Harrodsburg, recognized as one of the earliest permanent European-American communities in Kentucky.
  • 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: Baileywick
Triple: [Sofia the First, hasCharacter, Baileywick]
Generated description
Baileywick is the royal steward in the animated series "Sofia the First," known for his dedication to keeping the castle running smoothly.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Baileywick
Target entity description: Baileywick is the royal steward in the animated series "Sofia the First," known for his dedication to keeping the castle running smoothly.
  • A. Elswick
    Elswick is a district in Newcastle upon Tyne, England, historically known as a major industrial and shipbuilding center.
  • B. Wicken
    Wicken is a small rural village in East Cambridgeshire, England, best known for its proximity to the National Trust’s Wicken Fen nature reserve, one of the country’s oldest wetlands.
  • C. Rackerby
    Rackerby is a small unincorporated rural community in Northern California known for its forested surroundings and quiet, sparsely populated setting.
  • D. Bakerville
    Bakerville is a small village within the town of New Hartford in Litchfield County, Connecticut.
  • E. Harrodstown
    Harrodstown was the original pioneer settlement that later became Harrodsburg, recognized as one of the earliest permanent European-American communities in Kentucky.
  • 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_69ca848c1ba88190b84b410cd14627fc completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9bb26b748190bc32e2003829b0ec completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18270dee481909c8d2de1fafdaf5b completed April 4, 2026, 9:28 p.m.
NEDg Description generation batch_69d18324756c819089eb7edc107ed8b2 completed April 4, 2026, 9:31 p.m.
NED2 Entity disambiguation (via description) batch_69d1856b88908190a787765e1d8f001f completed April 4, 2026, 9:40 p.m.
Created at: March 30, 2026, 8:13 p.m.