Triple

T5820951
Position Surface form Disambiguated ID Type / Status
Subject The Castle Spectre E129104 entity
Predicate hasCharacter P2308 FINISHED
Object Kenric
Kenric is a character in the Gothic melodrama "The Castle Spectre," likely involved in its dark, suspenseful plot of intrigue and supernatural events.
 E548220 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: Kenric | Statement: [The Castle Spectre, hasCharacter, Kenric]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kenric
Context triple: [The Castle Spectre, hasCharacter, Kenric]
  • A. Roxbury
    Roxbury is one of the earliest English-settled neighborhoods of present-day Boston, historically significant as a colonial town in what became Massachusetts.
  • B. Roxbury
    Roxbury is a small town located in Dane County, Wisconsin, known for its rural character and proximity to the Madison metropolitan area.
  • C. Boston Logan
    Boston Logan is a major international airport serving the Greater Boston area in Massachusetts, United States.
  • D. Alden
    Alden is the given name of American actor Alden Ehrenreich, known for roles in films such as "Hail, Caesar!" and "Solo: A Star Wars Story."
  • E. Brookland
    Brookland is a residential neighborhood in Northeast Washington, D.C., known for its Catholic institutions, including the Catholic University of America, and its mix of historic homes and growing arts and dining scenes.
  • 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: Kenric
Triple: [The Castle Spectre, hasCharacter, Kenric]
Generated description
Kenric is a character in the Gothic melodrama "The Castle Spectre," likely involved in its dark, suspenseful plot of intrigue and supernatural events.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kenric
Target entity description: Kenric is a character in the Gothic melodrama "The Castle Spectre," likely involved in its dark, suspenseful plot of intrigue and supernatural events.
  • A. Roxbury
    Roxbury is one of the earliest English-settled neighborhoods of present-day Boston, historically significant as a colonial town in what became Massachusetts.
  • B. Roxbury
    Roxbury is a small town located in Dane County, Wisconsin, known for its rural character and proximity to the Madison metropolitan area.
  • C. Boston Logan
    Boston Logan is a major international airport serving the Greater Boston area in Massachusetts, United States.
  • D. Alden
    Alden is the given name of American actor Alden Ehrenreich, known for roles in films such as "Hail, Caesar!" and "Solo: A Star Wars Story."
  • E. Brookland
    Brookland is a residential neighborhood in Northeast Washington, D.C., known for its Catholic institutions, including the Catholic University of America, and its mix of historic homes and growing arts and dining scenes.
  • 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_69c0084869e881908d7859492183ca7b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c033e598f48190abd859c5a2ba08dd completed March 22, 2026, 6:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c09856bd7881909bf6a87e0c071103 completed March 23, 2026, 1:33 a.m.
NEDg Description generation batch_69c098f465cc819088241200306bd273 completed March 23, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69c099770ca88190a91815ec055f6df8 completed March 23, 2026, 1:37 a.m.
Created at: March 22, 2026, 3:53 p.m.