Triple

T21431938
Position Surface form Disambiguated ID Type / Status
Subject Aisha Hinds E528708 entity
Predicate notableWork P4 FINISHED
Object All the Way — 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 the Way | Statement: [Aisha Hinds, notableWork, All the Way]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: All the Way
Context triple: [Aisha Hinds, notableWork, All the Way]
  • A. All the Way
    "All the Way" is a classic popular song closely associated with Frank Sinatra, featuring romantic lyrics by Sammy Cahn and music by Jimmy Van Heusen.
  • B. All the Way
    All the Way is a film featuring actor Mo McRae in a significant role.
  • C. All the Way chosen
    All the Way is a Tony Award–winning play that dramatizes U.S. President Lyndon B. Johnson’s tumultuous first year in office following John F. Kennedy’s assassination.
  • D. All the Way
    "All the Way" is a track by the hip hop group Bone Thugs-n-Harmony from their album "BTNHResurrection."
  • E. All The Way
    "All The Way" is the motivational motto of the U.S. Army's 3rd Brigade Combat Team, 82nd Airborne Division, reflecting its commitment to complete every mission with full dedication and resolve.
  • 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b3ec70f08190b84c4f747cfb290f completed April 22, 2026, 11:41 a.m.
Created at: April 16, 2026, 5:49 p.m.