Triple

T7370665
Position Surface form Disambiguated ID Type / Status
Subject Danny O’Donoghue E169991 entity
Predicate associatedAct P37 FINISHED
Object Mytown
Mytown was an Irish boy band from the late 1990s that featured future The Script frontman Danny O’Donoghue.
 E660169 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: Mytown | Statement: [Danny O’Donoghue, associatedAct, Mytown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mytown
Context triple: [Danny O’Donoghue, associatedAct, Mytown]
  • A. Toy Town
    Toy Town is the colorful, whimsical village setting in Enid Blyton’s Noddy stories, inhabited by living toys and other playful characters.
  • B. Block City
    Block City is a compact, block-themed battle arena course featured in the multiplayer Battle Mode of Mario Kart: Double Dash!!.
  • C. Bricksburg
    Bricksburg is the primary LEGO city setting in "The LEGO Movie," depicted as a bustling, highly structured world built entirely from LEGO bricks.
  • D. Coolville
    Coolville is a small village in southeastern Ohio, United States, known for its rural setting near the Hocking and Ohio rivers.
  • E. Rivertowns
    Rivertowns is an informal name for a group of historic, Hudson River–front villages and small cities in Westchester County, New York, known for their scenic waterfronts and commuter communities.
  • 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: Mytown
Triple: [Danny O’Donoghue, associatedAct, Mytown]
Generated description
Mytown was an Irish boy band from the late 1990s that featured future The Script frontman Danny O’Donoghue.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mytown
Target entity description: Mytown was an Irish boy band from the late 1990s that featured future The Script frontman Danny O’Donoghue.
  • A. Toy Town
    Toy Town is the colorful, whimsical village setting in Enid Blyton’s Noddy stories, inhabited by living toys and other playful characters.
  • B. Block City
    Block City is a compact, block-themed battle arena course featured in the multiplayer Battle Mode of Mario Kart: Double Dash!!.
  • C. Bricksburg
    Bricksburg is the primary LEGO city setting in "The LEGO Movie," depicted as a bustling, highly structured world built entirely from LEGO bricks.
  • D. Coolville
    Coolville is a small village in southeastern Ohio, United States, known for its rural setting near the Hocking and Ohio rivers.
  • E. Rivertowns
    Rivertowns is an informal name for a group of historic, Hudson River–front villages and small cities in Westchester County, New York, known for their scenic waterfronts and commuter communities.
  • 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_69c68a5bfaac81909ce7f001dfb70c76 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f182df5c81908964fbaa3f8ec790 completed March 27, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802c3a4788190850294b054b9c928 completed March 28, 2026, 4:33 p.m.
NEDg Description generation batch_69c803baa4d48190941174246f533399 completed March 28, 2026, 4:37 p.m.
NED2 Entity disambiguation (via description) batch_69c80457cca08190a392b4efaa50a3f4 completed March 28, 2026, 4:39 p.m.
Created at: March 27, 2026, 3:07 p.m.