Triple

T22119148
Position Surface form Disambiguated ID Type / Status
Subject Between Today and Yesterday E546617 entity
Predicate notableSong P4 FINISHED
Object Jarrow Song 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: Jarrow Song | Statement: [Between Today and Yesterday, notableSong, Jarrow Song]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jarrow Song
Context triple: [Between Today and Yesterday, notableSong, Jarrow Song]
  • A. Jarrow Song chosen
    "Jarrow Song" is a politically charged folk-rock song by English musician Alan Price that reflects on the history and struggles of the working-class town of Jarrow.
  • B. A Song
    "A Song" is a track by Greek composer Vangelis featured on his 1979 electronic music album "Earth."
  • C. The Song
    "The Song" is a poem by John Milton that appears within his larger work "To Urania," reflecting his characteristic blend of classical allusion and religious meditation.
  • D. Jet Song
    "Jet Song" is an energetic opening number from the musical West Side Story that introduces the Jets gang and sets the tone for their camaraderie and defiance.
  • E. State of Song
    The State of Song was an ancient Chinese state during the Zhou dynasty period, historically notable as the homeland of the philosopher Zhuangzi.
  • 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12950f5348190b204fbc347fd5dab completed April 28, 2026, 9:40 p.m.
Created at: April 16, 2026, 8:31 p.m.