Triple

T16910190
Position Surface form Disambiguated ID Type / Status
Subject Moral Orel E410172 entity
Predicate setting P1957 FINISHED
Object Moralton
Moralton is the fictional, deeply religious small town in the animated series "Moral Orel," known for satirizing conservative Christian suburbia.
 E1239762 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: Moralton | Statement: [Moral Orel, setting, Moralton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moralton
Context triple: [Moral Orel, setting, Moralton]
  • A. Cullingworth
    Cullingworth is a village in West Yorkshire, England, situated near the town of Bingley and within commuting distance of Bradford.
  • B. Malton
    Malton is a diverse residential and industrial neighbourhood in the northeastern part of Mississauga, Ontario, known for its proximity to Toronto Pearson International Airport.
  • C. Malton
    Malton is a market town in North Yorkshire, England, known for its historic character and reputation as a food and drink destination.
  • D. Mirfield
    Mirfield is a small town in West Yorkshire, England, known for its position on major rail routes and its historic textile industry.
  • E. Murton
    Murton is a village in County Durham, England, historically associated with coal mining and situated near other former pit communities such as Hetton-le-Hole.
  • 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: Moralton
Triple: [Moral Orel, setting, Moralton]
Generated description
Moralton is the fictional, deeply religious small town in the animated series "Moral Orel," known for satirizing conservative Christian suburbia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moralton
Target entity description: Moralton is the fictional, deeply religious small town in the animated series "Moral Orel," known for satirizing conservative Christian suburbia.
  • A. Cullingworth
    Cullingworth is a village in West Yorkshire, England, situated near the town of Bingley and within commuting distance of Bradford.
  • B. Malton
    Malton is a market town in North Yorkshire, England, known for its historic character and reputation as a food and drink destination.
  • C. Malton
    Malton is a diverse residential and industrial neighbourhood in the northeastern part of Mississauga, Ontario, known for its proximity to Toronto Pearson International Airport.
  • D. Mirfield
    Mirfield is a small town in West Yorkshire, England, known for its position on major rail routes and its historic textile industry.
  • E. Murton
    Murton is a village in County Durham, England, historically associated with coal mining and situated near other former pit communities such as Hetton-le-Hole.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3ca3ca0c481909ff361ccf4a922e3 completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7bb4ac481909318d3d61a2d10e1 completed May 10, 2026, 6 p.m.
NEDg Description generation batch_6a00c8c9c78481908e503977d47f7c1f completed May 10, 2026, 6:04 p.m.
NED2 Entity disambiguation (via description) batch_6a00c9d1c6a0819083635b8246cc82e7 completed May 10, 2026, 6:09 p.m.
Created at: April 10, 2026, 5:30 a.m.