Triple

T15225620
Position Surface form Disambiguated ID Type / Status
Subject Thank You E363869 entity
Predicate followedBy P78 FINISHED
Object Sweet Sixteen E310538 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: Sweet Sixteen | Statement: [Thank You, followedBy, Sweet Sixteen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sweet Sixteen
Context triple: [Thank You, followedBy, Sweet Sixteen]
  • A. Sweet Sixteen chosen
    "Sweet Sixteen" is a blues song most famously associated with B.B. King, exemplifying his emotive guitar style and vocal delivery.
  • B. Sweet Sixteen
    Sweet Sixteen is the round of the NCAA Division I Men’s Basketball Tournament in which 16 remaining teams compete for spots in the Elite Eight.
  • C. Sweet Sixteen
    Sweet Sixteen is a 1997 album by American rock band Royal Trux, known for its noisy, experimental take on classic rock and lo-fi aesthetics.
  • D. Sweet Sixteen
    Sweet Sixteen is a 2002 British social-realist drama film by Ken Loach that follows a Scottish teenager’s struggle to escape poverty and crime before his mother’s release from prison.
  • E. Sweet Sixteen
    Sweet Sixteen is a work edited by Jonathan Morris, likely a book or collection associated with his scholarship or editorial projects.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0078bb32881909927561c6c072546 completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd35ae348190beb1b113bfc66ab3 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:12 a.m.