Triple

T10048933
Position Surface form Disambiguated ID Type / Status
Subject Yo-Yo E207689 entity
Predicate notableSong P4 FINISHED
Object You Can't Play with My Yo-Yo E207689 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: You Can't Play with My Yo-Yo | Statement: [Yo-Yo, notableSong, You Can't Play with My Yo-Yo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: You Can't Play with My Yo-Yo
Context triple: [Yo-Yo, notableSong, You Can't Play with My Yo-Yo]
  • A. Yo-Yo chosen
    Yo-Yo is an American rapper and actress known for her socially conscious lyrics and prominent role in early 1990s West Coast hip hop.
  • B. Yo-Yo
    Yo-Yo is the given name of Yo-Yo Ma, the renowned Chinese-American cellist celebrated for his virtuosity and diverse musical collaborations.
  • C. Yo Yo Yo
    "Yo Yo Yo" is a track featured on the indie rock compilation album "Take 'Em to the Cleaners" by the band The Cleaners from Venus.
  • D. Ride My See-Saw
    "Ride My See-Saw" is a 1968 psychedelic rock song by The Moody Blues known for its energetic tempo, philosophical lyrics, and prominent use of Mellotron.
  • E. The Lemon Drop Kid
    The Lemon Drop Kid is a 1951 Christmas-themed comedy film starring Bob Hope, best known today for popularizing the holiday song "Silver Bells."
  • 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_69ca835ad0608190b7c80b292da004f5 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf8cf4f0819084d831e1986790be completed April 2, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b61869208190ab67a28e2aa8f8ec completed April 5, 2026, 7:20 p.m.
Created at: March 30, 2026, 8:56 p.m.