Triple

T13508797
Position Surface form Disambiguated ID Type / Status
Subject Hotel World E321082 entity
Predicate mainCharacter P1183 FINISHED
Object Clare
Clare is a central character in Ali Smith’s novel "Hotel World," whose story explores themes of mortality, memory, and interconnected lives.
E1045673 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: Clare | Statement: [Hotel World, mainCharacter, Clare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clare
Context triple: [Hotel World, mainCharacter, Clare]
  • A. Clare
    Clare is a given name commonly used as a shortened or familiar form of the name Clarence.
  • B. Clare
    Clare is a historic market town and civil parish in Suffolk, England, known for its medieval architecture and picturesque countryside setting.
  • C. Clare
    Clare is a central character in the Restoration comedy "The Witty Fair One," known for embodying the play’s themes of wit, romance, and social intrigue.
  • D. Clare
    Clare is a small town in South Australia that serves as the main service and tourism hub for the surrounding Clare Valley wine region.
  • E. Clarey
    Clarey is a diminutive or affectionate form of the given name Clara.
  • 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: Clare
Triple: [Hotel World, mainCharacter, Clare]
Generated description
Clare is a central character in Ali Smith’s novel "Hotel World," whose story explores themes of mortality, memory, and interconnected lives.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Clare
Target entity description: Clare is a central character in Ali Smith’s novel "Hotel World," whose story explores themes of mortality, memory, and interconnected lives.
  • A. Clare
    Clare is a central character in the Restoration comedy "The Witty Fair One," known for embodying the play’s themes of wit, romance, and social intrigue.
  • B. Clare
    Clare is a small town in South Australia that serves as the main service and tourism hub for the surrounding Clare Valley wine region.
  • C. Clare
    Clare is a historic market town and civil parish in Suffolk, England, known for its medieval architecture and picturesque countryside setting.
  • D. Clare
    Clare is a given name commonly used as a shortened or familiar form of the name Clarence.
  • E. Clarey
    Clarey is a diminutive or affectionate form of the given name Clara.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf85a74081909eb08751fc55ce8f completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7548e51b881909a3384812556bc3d completed May 3, 2026, 1:58 p.m.
NEDg Description generation batch_69f757108e088190aeec031eccc9aca3 completed May 3, 2026, 2:09 p.m.
NED2 Entity disambiguation (via description) batch_69f757e7322c8190b0e36e8373d42ac4 completed May 3, 2026, 2:12 p.m.
Created at: April 9, 2026, 9:43 p.m.