Triple

T18382282
Position Surface form Disambiguated ID Type / Status
Subject Betsy Blair E446482 entity
Predicate notableWork P4 FINISHED
Object All Night Long — 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: All Night Long | Statement: [Betsy Blair, notableWork, All Night Long]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: All Night Long
Context triple: [Betsy Blair, notableWork, All Night Long]
  • A. All Night Long
    "All Night Long" is a track by rapper Common from his critically acclaimed 1997 album "One Day It'll All Make Sense."
  • B. All Night Long
    All Night Long is a hard rock studio album by American band Buckcherry, known for its energetic, riff-driven songs and anthemic choruses.
  • C. All Night Long
    "All Night Long" is a song featured on the R&B album *U Turn* by Brian McKnight.
  • D. All Night Long
    "All Night Long" is a soulful R&B track by Aretha Franklin from her landmark 1967 album "I Never Loved a Man the Way I Love You."
  • E. All Night Long chosen
    All Night Long is a 1962 British jazz-infused drama film directed by Basil Dearden that reimagines Shakespeare’s Othello in London’s nightclub scene.
  • 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e5179c931c8190b1c7c8284f42f7b7 completed April 19, 2026, 5:57 p.m.
Created at: April 10, 2026, 10:45 a.m.