Triple

T6300313
Position Surface form Disambiguated ID Type / Status
Subject On a Good Day E141235 entity
Predicate partOfAlbum P35 FINISHED
Object Have One on Me 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 | Statement: [On a Good Day, partOfAlbum, Have One on Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Have One on Me
Context triple: [On a Good Day, partOfAlbum, Have One on Me]
  • 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. Nothing on Me
    "Nothing on Me" is a blues-influenced rock song by Keith Richards from his solo album "Crosseyed Heart."
  • C. Put It on Me
    "Put It on Me" is a hit hip-hop/R&B single by Ja Rule, featuring Lil' Mo and Vita, that became one of his signature songs in the early 2000s.
  • D. Nothin' on You
    "Nothin' on You" is a hit pop-rap single by B.o.B featuring Bruno Mars, known for its catchy hook and romantic lyrics that helped launch Mars's mainstream career.
  • E. 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.
  • 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0645a7e048190af7a609fc74b876a completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c67c3b6cdc8190ad9e10957e301a57 completed March 27, 2026, 12:46 p.m.
Created at: March 22, 2026, 4:27 p.m.