Triple

T12589186
Position Surface form Disambiguated ID Type / Status
Subject Scott Rosenberg E300554 entity
Predicate coCreated P1858 FINISHED
Object Happy Town
Happy Town is an American mystery drama television series that follows a small town plagued by abductions and dark secrets.
E993303 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: Happy Town | Statement: [Scott Rosenberg, coCreated, Happy Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Happy Town
Context triple: [Scott Rosenberg, coCreated, Happy Town]
  • A. Snowville
    Snowville is a small rural settlement located within the township of Tehkummah in Ontario, Canada.
  • B. Hope Town
    Hope Town is a picturesque historic settlement on Elbow Cay in the Abaco Islands of the Bahamas, known for its candy-striped lighthouse, colonial-style architecture, and boating culture.
  • C. Maxville
    Maxville is a small unincorporated community located in the state of Missouri in the United States.
  • D. Little Town
    Little Town is a small hamlet in the Newlands Valley of England’s Lake District, known as a starting point for popular fell walks and its picturesque rural setting.
  • E. Coolville
    Coolville is a small village in southeastern Ohio, United States, known for its rural setting near the Hocking and Ohio rivers.
  • 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: Happy Town
Triple: [Scott Rosenberg, coCreated, Happy Town]
Generated description
Happy Town is an American mystery drama television series that follows a small town plagued by abductions and dark secrets.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Happy Town
Target entity description: Happy Town is an American mystery drama television series that follows a small town plagued by abductions and dark secrets.
  • A. Snowville
    Snowville is a small rural settlement located within the township of Tehkummah in Ontario, Canada.
  • B. Hope Town
    Hope Town is a picturesque historic settlement on Elbow Cay in the Abaco Islands of the Bahamas, known for its candy-striped lighthouse, colonial-style architecture, and boating culture.
  • C. Maxville
    Maxville is a small unincorporated community located in the state of Missouri in the United States.
  • D. Little Town
    Little Town is a small hamlet in the Newlands Valley of England’s Lake District, known as a starting point for popular fell walks and its picturesque rural setting.
  • E. Coolville
    Coolville is a small village in southeastern Ohio, United States, known for its rural setting near the Hocking and Ohio rivers.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954bd5e8c8190a2f233b91682341f completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ec0a60c8190948706e8b2fcc0ad completed May 2, 2026, 8:29 p.m.
NEDg Description generation batch_69f662cc2a208190870e2099a8bb5d04 completed May 2, 2026, 8:47 p.m.
NED2 Entity disambiguation (via description) batch_69f6638319d48190ba73480ce6e91d83 completed May 2, 2026, 8:50 p.m.
Created at: April 9, 2026, 5:06 p.m.