Triple

T1202733
Position Surface form Disambiguated ID Type / Status
Subject Have One on Me E25818 entity
Predicate hasPart P35 FINISHED
Object Have One on Me (song) E25818 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: Have One on Me (song) | Statement: [Have One on Me, hasPart, Have One on Me (song)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Have One on Me (song)
Context triple: [Have One on Me, hasPart, Have One on Me (song)]
  • A. Have One on Me chosen
    Have One on Me is an expansive, critically acclaimed 2010 triple album by American singer-songwriter and harpist Joanna Newsom, noted for its intricate compositions and poetic lyrics.
  • B. No One
    "No One" is a Grammy-winning R&B ballad by American singer-songwriter Alicia Keys that became one of her signature hits worldwide.
  • C. Can't Stop the Feeling!
    "Can't Stop the Feeling!" is a 2016 upbeat pop song by Justin Timberlake, known for its feel-good dance vibe and association with the animated film Trolls.
  • D. Drunk in Love
    "Drunk in Love" is a sultry, trap-influenced R&B song by Beyoncé featuring Jay-Z that became one of her signature hits following its release in 2013.
  • E. Ain’t Nobody
    "Ain’t Nobody" is a 1983 R&B/funk song by Rufus and Chaka Khan, widely regarded as one of her signature hits and a classic of the genre.
  • 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_69a4942b30f08190a91c60573e16b5ef completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bdbda0b081909c0147121a945e27 completed March 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f3a48d48190ae5179312b52b3ee completed March 7, 2026, 7:40 p.m.
Created at: March 1, 2026, 7:46 p.m.