Triple

T2010295
Position Surface form Disambiguated ID Type / Status
Subject Court and Spark E43673 entity
Predicate hasPart P35 FINISHED
Object Help Me E43684 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: Help Me | Statement: [Court and Spark, hasPart, Help Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Help Me
Context triple: [Court and Spark, hasPart, Help Me]
  • A. Help Me chosen
    "Help Me" is a 1974 jazz-inflected folk-pop song by Canadian singer-songwriter Joni Mitchell, widely regarded as one of her signature hits from the album *Court and Spark*.
  • B. Help!
    "Help!" is a 1965 song and title track by the Beatles, widely recognized as one of their classic hits from their early period.
  • C. Help
    Help is a Wikimedia Commons namespace used for pages that provide guidance and documentation on using and contributing to the media repository.
  • D. Why Me
    "Why Me" is a popular Afrobeat song by Nigerian artist D'banj that helped cement his status as a leading figure in contemporary African pop music.
  • E. SOS
    "SOS" is a hit pop song by the Swedish group ABBA, known for its dramatic melody and emotional lyrics about a troubled relationship.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8afe6f8819092679c86d1f2d041 completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0ae5f0748190aecee47884c61ecc completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:37 p.m.