Triple

T22670080
Position Surface form Disambiguated ID Type / Status
Subject The Smithereens E559896 entity
Predicate notableSong P4 FINISHED
Object A Girl Like You 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: A Girl Like You | Statement: [The Smithereens, notableSong, A Girl Like You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A Girl Like You
Context triple: [The Smithereens, notableSong, A Girl Like You]
  • A. A Girl Like You chosen
    "A Girl Like You" is an R&B song performed by American singer Kevon Edmonds, known for his smooth vocals and emotive ballad style.
  • B. With a Girl Like You
    "With a Girl Like You" is a 1966 hit rock song by the English band The Troggs, known for its simple, catchy melody and prominent use of vocal hooks.
  • C. A Girl Like Me
    A Girl Like Me is Rihanna’s second studio album, featuring a blend of Caribbean-influenced pop and R&B that helped establish her as an international star.
  • D. That Girl Is You
    "That Girl Is You" is a song by the Dave Matthews Band featured on their 2018 studio album "Come Tomorrow."
  • E. Take a Girl Like You
    Take a Girl Like You is a 1960 novel by British author Kingsley Amis that follows a young woman's romantic and moral struggles in contemporary England, blending social comedy with sharp satire.
  • 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_69e2454a158c819093b8e35f5045efb6 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1781ed50c8190a6943f51d7337b49 completed April 29, 2026, 3:16 a.m.
Created at: April 17, 2026, 3:10 p.m.