Triple

T12990961
Position Surface form Disambiguated ID Type / Status
Subject Mama Africa E321903 entity
Predicate hasPart P35 FINISHED
Object All Day E184896 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: All Day | Statement: [Mama Africa, hasPart, All Day]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: All Day
Context triple: [Mama Africa, hasPart, All Day]
  • A. All Day chosen
    "All Day" is a 2015 Kanye West single featuring contributions from several artists, including CyHi the Prynce, known for its aggressive production and rapid-fire verses.
  • B. All Day Long
    "All Day Long" is a song by Chance the Rapper from his debut studio album "The Big Day."
  • C. All Day and All of the Night
    "All Day and All of the Night" is a 1964 hard-driving rock song by the Kinks, celebrated as one of the defining early British Invasion and proto–hard rock tracks.
  • D. Day by Day
    "Day by Day" is a popular devotional song from the 1971 musical *Godspell*, known for its simple, prayer-like lyrics and enduring presence in both theater and contemporary Christian music.
  • E. Beautiful Day
    "Beautiful Day" is a Grammy-winning rock anthem by Irish band U2, known for its uplifting lyrics and soaring, atmospheric 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e7765788190a9503ef055bc30ca completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8fb70f481908a9a4ca04d6bf93b completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:43 p.m.