Triple

T22708380
Position Surface form Disambiguated ID Type / Status
Subject The Closing of Winterland E561521 entity
Predicate includesSong P7178 FINISHED
Object Around and Around 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: Around and Around | Statement: [The Closing of Winterland, includesSong, Around and Around]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Around and Around
Context triple: [The Closing of Winterland, includesSong, Around and Around]
  • A. Around and Around chosen
    "Around and Around" is a 1958 rock and roll song by Chuck Berry that became a popular B-side and was later widely covered by bands such as the Rolling Stones.
  • B. Round & Round
    "Round & Round" is a dance-pop song by Selena Gomez & the Scene known for its catchy chorus and electronic production.
  • C. Round and Round
    "Round and Round" is the B-side track to Lionel Richie's 1984 single "Stuck on You," featured on his hit album "Can't Slow Down."
  • D. Round and Round
    "Round and Round" is a 1984 glam metal hit by the American band Ratt, known as one of their signature songs and a staple of the genre’s MTV era.
  • E. Round and Around
    "Round and Around" is a 1985 R&B/pop single by British singer Jaki Graham that became one of her signature hits in the UK.
  • 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_69e2454f1348819088d83f420925a5c1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178d11d4081909981872698b6c45e completed April 29, 2026, 3:19 a.m.
Created at: April 17, 2026, 3:17 p.m.