Triple

T9058534
Position Surface form Disambiguated ID Type / Status
Subject Crush E217063 entity
Predicate hasTrack P3284 FINISHED
Object Two Story Town
"Two Story Town" is a song by the American rock band Crush.
E774753 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: Two Story Town | Statement: [Crush, hasTrack, Two Story Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Two Story Town
Context triple: [Crush, hasTrack, Two Story Town]
  • A. 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.
  • B. The City in the Country
    "The City in the Country" is the official motto of Poway, California, reflecting its blend of suburban living with preserved rural and natural landscapes.
  • C. Toy Town
    Toy Town is the colorful, whimsical village setting in Enid Blyton’s Noddy stories, inhabited by living toys and other playful characters.
  • D. The Town
    The Town is a 1957 novel by William Faulkner, part of his Snopes trilogy, that explores the rise of the Snopes family and the changing social fabric of the fictional Yoknapatawpha County.
  • E. The Town
    The Town is a 2010 crime thriller film directed by and starring Ben Affleck, centered on a crew of Boston bank robbers and the personal and moral conflicts that arise after one of them falls for a former hostage.
  • 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: Two Story Town
Triple: [Crush, hasTrack, Two Story Town]
Generated description
"Two Story Town" is a song by the American rock band Crush.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Two Story Town
Target entity description: "Two Story Town" is a song by the American rock band Crush.
  • A. 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.
  • B. The City in the Country
    "The City in the Country" is the official motto of Poway, California, reflecting its blend of suburban living with preserved rural and natural landscapes.
  • C. Toy Town
    Toy Town is the colorful, whimsical village setting in Enid Blyton’s Noddy stories, inhabited by living toys and other playful characters.
  • D. The Town
    The Town is a 1957 novel by William Faulkner, part of his Snopes trilogy, that explores the rise of the Snopes family and the changing social fabric of the fictional Yoknapatawpha County.
  • E. The Town
    The Town is a 2010 crime thriller film directed by and starring Ben Affleck, centered on a crew of Boston bank robbers and the personal and moral conflicts that arise after one of them falls for a former hostage.
  • 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_69ca83d4425481909a319dab847724ec completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7ec924f481908ca2eac98c68a41d completed April 1, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebe40ec08190a1da2aa1c6577723 completed April 3, 2026, 4:33 p.m.
NEDg Description generation batch_69cfee44642c8190af2dbd69a974d455 completed April 3, 2026, 4:43 p.m.
NED2 Entity disambiguation (via description) batch_69cfeec0d43c81909013f5a1dd49e133 completed April 3, 2026, 4:45 p.m.
Created at: March 30, 2026, 7:10 p.m.