Triple

T23189644
Position Surface form Disambiguated ID Type / Status
Subject Let Me Be Lonely E579694 entity
Predicate hasTitle P38 FINISHED
Object Let Me Be Lonely 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: Let Me Be Lonely | Statement: [Let Me Be Lonely, hasTitle, Let Me Be Lonely]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Let Me Be Lonely
Context triple: [Let Me Be Lonely, hasTitle, Let Me Be Lonely]
  • A. Let Me Be Lonely chosen
    "Let Me Be Lonely" is a song by Dionne Warwick that appeared as the B-side to her 1968 hit single "Do You Know the Way to San Jose."
  • B. Don’t Let Me Be Lonely
    Don’t Let Me Be Lonely is a hybrid work of lyric essay and poetry by Claudia Rankine that meditates on American life, media, and personal and collective grief in the early 21st century.
  • C. To Be So Lonely
    "To Be So Lonely" is a melancholic, guitar-driven pop song by Harry Styles from his 2019 album "Fine Line," reflecting on heartbreak and emotional isolation.
  • D. Leave Me Lonely
    "Leave Me Lonely" is a soulful, emotionally charged R&B ballad by Ariana Grande featuring Macy Gray from her album "Dangerous Woman."
  • E. Leave Me Lonely
    "Leave Me Lonely" is a country music song popularized by American singer Gary Morris.
  • 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_69e245ff8000819090d12008805315b7 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18fd65e008190a724619a107d7bd1 completed April 29, 2026, 4:57 a.m.
Created at: April 17, 2026, 4:05 p.m.