Triple

T14658915
Position Surface form Disambiguated ID Type / Status
Subject Good Morning Aztlán E344182 entity
Predicate hasPart P35 FINISHED
Object Round & Round E616675 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: Round & Round | Statement: [Good Morning Aztlán, hasPart, Round & Round]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Round & Round
Context triple: [Good Morning Aztlán, hasPart, Round & Round]
  • A. 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."
  • B. Round and Round chosen
    "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.
  • C. 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.
  • D. Around and Around
    "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.
  • E. Spin Me Round
    Spin Me Round is a 2022 dark comedy film in which Alison Brie stars as a restaurant manager who wins a bizarre company trip to Italy that quickly takes unexpected and unsettling turns.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb51b6a248190a44050c0e0ec2d16 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5e01cd081909c71fdcf67c3b1f5 completed May 8, 2026, 12:24 p.m.
Created at: April 10, 2026, 1:27 a.m.