Triple

T17514052
Position Surface form Disambiguated ID Type / Status
Subject August and Everything After E426522 entity
Predicate hasPart P35 FINISHED
Object Round Here 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: Round Here | Statement: [August and Everything After, hasPart, Round Here]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Round Here
Context triple: [August and Everything After, hasPart, Round Here]
  • A. Round Here
    "Round Here" is a track from Snoop Dogg’s 2006 hip hop album *Tha Blue Carpet Treatment*, showcasing his West Coast rap style and thematic focus on street life.
  • B. Round Here
    "Round Here" is a popular country song by the American duo Florida Georgia Line, known for its catchy melody and small-town party themes.
  • C. Round Here chosen
    "Round Here" is a popular alternative rock song by Counting Crows, known for its introspective lyrics and prominent role in establishing the band's 1990s success.
  • D. Round Here
    "Round Here" is a hip-hop track by rapper Memphis Bleek, best known as one of his prominent early-2000s singles under the Roc-A-Fella Records label.
  • E. Around Here
    "Around Here" is a musical number from the stage adaptation of "9 to 5" that introduces the office setting and the daily grind of its workers.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4525e7330819088b9fb6d46e344cc completed April 19, 2026, 3:56 a.m.
Created at: April 10, 2026, 5:49 a.m.