Triple

T20436310
Position Surface form Disambiguated ID Type / Status
Subject Thank You E501258 entity
Predicate recordedBy P1165 FINISHED
Object Meghan Trainor NE NERFINISHED

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: Meghan Trainor | Statement: [Thank You, recordedBy, Meghan Trainor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meghan Trainor
Context triple: [Thank You, recordedBy, Meghan Trainor]
  • A. Meghan Trainor chosen
    Meghan Trainor is an American singer-songwriter and pop artist best known for her retro-influenced hits like "All About That Bass" and her body-positive, doo-wop-inspired sound.
  • B. Michelle McLeod
    Michelle McLeod is a Canadian actress known for her roles in film and television, including an appearance in the acclaimed drama "Women Talking."
  • C. Lauren Mayberry
    Lauren Mayberry is a Scottish singer, songwriter, and musician best known as the lead vocalist of the synth-pop band Chvrches.
  • D. Shayne Audra Murphy
    Shayne Audra Murphy is an American model and television personality, best known as the daughter of comedian Eddie Murphy and model Nicole Mitchell Murphy.
  • E. Alessia Cara
    Alessia Cara is a Canadian singer-songwriter known for her soulful pop music and breakout hits like "Here" and "Scars to Your Beautiful."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ab3cfc8190ac9bf32e932316b1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e685ef5fc8819089e3f97a63a52f86 completed April 20, 2026, 8 p.m.
Created at: April 16, 2026, 11:31 a.m.