Triple

T863609
Position Surface form Disambiguated ID Type / Status
Subject The Times They Are a-Changin' E18650 entity
Predicate hasCoverVersionBy P11142 FINISHED
Object Cher E92362 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: Cher | Statement: [The Times They Are a-Changin', hasCoverVersionBy, Cher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cher
Context triple: [The Times They Are a-Changin', hasCoverVersionBy, Cher]
  • A. Cher
    Cher is a department in central France, named after the Cher River and known for its historic towns, vineyards, and agricultural landscapes.
  • B. Cher chosen
    Cher is an American singer, actress, and pop culture icon known for her distinctive contralto voice, decades-spanning career, and hits like "Believe" and "If I Could Turn Back Time."
  • C. Olivia Newton-John
    Olivia Newton-John was a British-Australian singer and actress best known for her role as Sandy in the film musical "Grease" and for hit songs such as "Physical."
  • D. Bette Midler
    Bette Midler is an American singer, actress, and comedian renowned for her powerful vocals, theatrical performances, and acclaimed work in film, television, and on stage.
  • E. La La Anthony
    La La Anthony is an American television personality and actress known for her roles in film and TV as well as her work as a host and producer.
  • 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_69a4938ce8688190a24bdfef82ba7d21 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2b8063081909566c404ca63a29e completed March 1, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b84b7ac0819089abf39adff96191 completed March 4, 2026, 4:42 a.m.
Created at: March 1, 2026, 7:39 p.m.