Triple

T3983421
Position Surface form Disambiguated ID Type / Status
Subject New Day E86812 entity
Predicate hasSample P3284 FINISHED
Object Feeling Good E165334 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: Feeling Good | Statement: [New Day, hasSample, Feeling Good]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Feeling Good
Context triple: [New Day, hasSample, Feeling Good]
  • A. Feeling Good chosen
    "Feeling Good" is a soulful, empowering track popularized by artists like Nina Simone and Michael Bublé, known for its dramatic vocals and themes of renewal and liberation.
  • B. Feel Good
    "Feel Good" is a popular song by the American funk band The Internet, known for its smooth neo-soul sound and laid-back groove.
  • C. Dr. Feelgood
    Dr. Feelgood is a British pub rock band known for their high-energy rhythm and blues style and influential role in the 1970s UK rock scene.
  • D. Glad to Be Unhappy
    "Glad to Be Unhappy" is a melancholy standard from the Rodgers and Hart songbook that has been widely recorded in jazz and pop interpretations.
  • E. Be Good to Yourself
    "Be Good to Yourself" is a 1986 rock single by American band Journey, known for its uplifting lyrics and anthemic arena-rock sound.
  • 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_69aed93fd9d4819085d3b2137d2346cb completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9dd351c81909605bc2605f541e1 completed March 9, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b540284d548190821d37b68974a2d2 completed March 14, 2026, 11:02 a.m.
Created at: March 9, 2026, 3:33 p.m.