Triple

T17260828
Position Surface form Disambiguated ID Type / Status
Subject John Stanier E419003 entity
Predicate notableAlbum P4 FINISHED
Object La Di Da Di E467131 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: La Di Da Di | Statement: [John Stanier, notableAlbum, La Di Da Di]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Di Da Di
Context triple: [John Stanier, notableAlbum, La Di Da Di]
  • A. La Di Da Di chosen
    La Di Da Di is a seminal 1985 hip-hop track by Doug E. Fresh and Slick Rick, renowned for its beatboxing, storytelling, and lasting influence on rap music and sampling.
  • B. Do Da Da
    "Do Da Da" is a song by the English rock band The Stranglers, featured on their 1977 album "No More Heroes" and later included in the compilation "Shenanigans."
  • C. Da Da Da
    "Da Da Da" is a minimalist, synth-driven new wave song by the German band Trio, best known internationally for its catchy, repetitive hook and widespread use in advertising.
  • D. De Dana Dan
    De Dana Dan is a 2009 Indian Hindi-language comedy film directed by Priyadarshan, known for its ensemble cast and chaotic, farcical storyline.
  • E. Din Da Da
    "Din Da Da" is a percussive, chant-driven electro track originally by George Kranz that has been widely sampled and covered in hip-hop and dance music.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e70b00c8190b0380be08afae18d completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a017101d5dc8190ac6507344897b0f3 completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:39 a.m.