Triple

T20475169
Position Surface form Disambiguated ID Type / Status
Subject Bobby V E502297 entity
Predicate notableWork P4 FINISHED
Object Turn the Page 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: Turn the Page | Statement: [Bobby V, notableWork, Turn the Page]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turn the Page
Context triple: [Bobby V, notableWork, Turn the Page]
  • A. Turn the Page
    "Turn the Page" is a reflective rock ballad by Bob Seger that has become one of his signature songs, known for its portrayal of the loneliness and hardships of life on the road as a touring musician.
  • B. Turn the Page chosen
    "Turn the Page" is an R&B song by American singer Bobby Valentino, known for its smooth vocals and romantic, mid-2000s slow-jam style.
  • C. Turn Every Page
    Turn Every Page is a documentary film that explores the decades-long professional relationship between writer Robert Caro and his editor Robert Gottlieb as they work to complete Caro’s final volume on Lyndon B. Johnson.
  • D. "Turn the Page"
    "Turn the Page" is a song written by acclaimed American songwriter Shelly Peiken, known for her work on numerous pop hits.
  • E. Page after Page
    "Page after Page" is a notable work by acclaimed war photographer Tim Page, likely reflecting his experiences and perspectives from covering conflicts.
  • 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6996464448190bdf9cf63c736d6dd completed April 20, 2026, 9:23 p.m.
Created at: April 16, 2026, 11:34 a.m.