Triple

T23439721
Position Surface form Disambiguated ID Type / Status
Subject March E565361 entity
Predicate trackListing P66182 FINISHED
Object This and That 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: This and That | Statement: [March, trackListing, This and That]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: This and That
Context triple: [March, trackListing, This and That]
  • A. This and That chosen
    "This and That" is a song by American singer-songwriter Michael Penn, known for his literate pop-rock style and introspective lyrics.
  • B. That’s That
    "That’s That" is a 2006 hip hop single by Snoop Dogg featuring R. Kelly, known for its smooth production and appearance on Snoop Dogg’s album *Tha Blue Carpet Treatment*.
  • C. With That
    "With That" is a trap song by American rapper Young Thug, known for its aggressive delivery, distinctive ad-libs, and production by London on da Track.
  • D. That, That Is
    "That, That Is" is an epic progressive rock suite by the English band Yes, notable for its complex structure, extended length, and spiritually themed lyrics.
  • E. That Guy from That Thing
    That Guy from That Thing is a stand-up comedy album by comedian and author Greg Behrendt, showcasing his observational humor and personal storytelling.
  • 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_69e24584f9488190bb32730bd2ce023e completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a5de713c8190b35bfa66dddbd5af completed April 29, 2026, 6:31 a.m.
Created at: April 17, 2026, 5:50 p.m.