Triple

T16497552
Position Surface form Disambiguated ID Type / Status
Subject Matt Sharp E400722 entity
Predicate associatedAct P37 FINISHED
Object Tegan and Sara E367205 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: Tegan and Sara | Statement: [Matt Sharp, associatedAct, Tegan and Sara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tegan and Sara
Context triple: [Matt Sharp, associatedAct, Tegan and Sara]
  • A. Tegan and Sara chosen
    Tegan and Sara are a Canadian indie pop duo of identical twin sisters known for their catchy melodies, emotionally candid lyrics, and influential presence in LGBTQ+ representation in music.
  • B. The Veronicas
    The Veronicas are an Australian pop-rock duo of twin sisters Lisa and Jessica Origliasso, known for hits like "Untouched" and "4ever."
  • C. Aly & AJ
    Aly & AJ are an American pop rock duo of sisters Alyson and AJ Michalka, known for their mid-2000s Disney-affiliated hits and later indie-pop releases.
  • D. Tegan Quin
    Tegan Quin is a Canadian singer-songwriter best known as one half of the indie pop duo Tegan and Sara.
  • E. The Donnas
    The Donnas were an American all-female rock band known for their high-energy, punk-influenced sound and party-themed anthems that gained popularity in the late 1990s and early 2000s.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e343a7c81909e04cbaaa40e2531 completed April 18, 2026, 7:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00582a316c81908ec32679c976ba23 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:14 a.m.