Triple

T11323284
Position Surface form Disambiguated ID Type / Status
Subject Mojo E268143 entity
Predicate hasTrack P3284 FINISHED
Object Let Yourself Go E234177 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: Let Yourself Go | Statement: [Mojo, hasTrack, Let Yourself Go]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Let Yourself Go
Context triple: [Mojo, hasTrack, Let Yourself Go]
  • A. Let Yourself Go
    "Let Yourself Go" is a punk rock song by Green Day from their 2012 album ¡Uno!.
  • B. Let Yourself Go
    "Let Yourself Go" is a studio album by Broadway and television star Kristin Chenoweth, featuring her interpretations of classic songs in a retro, big-band and vocal jazz style.
  • C. Let Yourself Go chosen
    "Let Yourself Go" is a popular 1936 Irving Berlin song introduced by Ginger Rogers in the Fred Astaire musical film *Follow the Fleet*.
  • D. Let Me Go
    "Let Me Go" is a song featured on the R&B singer Keke Wyatt's album "Two Eleven."
  • E. Let Me Go
    "Let Me Go" is an R&B song by Canadian singer-songwriter Daniel Caesar, known for its smooth vocals and introspective, emotionally driven lyrics.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9e122e48190b3f890de8d561480 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525ed950081908ec94cfbf8849e85 completed April 19, 2026, 6:58 p.m.
Created at: April 8, 2026, 9:32 p.m.