Triple

T15122515
Position Surface form Disambiguated ID Type / Status
Subject School Boy Records E361202 entity
Predicate associatedAct P37 FINISHED
Object Dan + Shay E140868 NE FINISHED

How this triple was built (2 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: Dan + Shay | Statement: [School Boy Records, associatedAct, Dan + Shay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan + Shay
Context triple: [School Boy Records, associatedAct, Dan + Shay]
  • A. Dan + Shay chosen
    Dan + Shay are a Grammy-winning American country pop duo known for their harmonious vocals and hit songs like "Tequila" and "Speechless."
  • B. Florida Georgia Line
    Florida Georgia Line is an American country music duo known for pioneering the bro-country sound with hit songs like "Cruise."
  • C. Thompson Square
    Thompson Square is a small commercial and residential hub within Boston’s historic Charlestown neighborhood, known for its local shops and proximity to the Bunker Hill Monument.
  • D. Rascal Flatts
    Rascal Flatts is an American country music trio known for their polished harmonies and numerous chart-topping hits in the 2000s and 2010s.
  • E. Maddie & Tae
    Maddie & Tae are an American country music duo known for their harmonies and socially conscious hits like “Girl in a Country Song.”
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0059f69a881909929a037a0eef702 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfe6c9cc8190b15e81092faa8ccf completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:06 a.m.