Triple

T5320474
Position Surface form Disambiguated ID Type / Status
Subject Poses E121659 entity
Predicate hasPart P35 FINISHED
Object Cigarettes and Chocolate Milk E121668 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: Cigarettes and Chocolate Milk | Statement: [Poses, hasPart, Cigarettes and Chocolate Milk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cigarettes and Chocolate Milk
Context triple: [Poses, hasPart, Cigarettes and Chocolate Milk]
  • A. "Cigarettes and Chocolate Milk" chosen
    "Cigarettes and Chocolate Milk" is a piano-driven pop song by Rufus Wainwright that wryly reflects on desire, indulgence, and self-destructive habits.
  • B. Hot Chocolates
    Hot Chocolates was a 1929 Broadway musical revue known for launching several jazz standards and showcasing prominent African American performers.
  • C. The Chocolate Girl
    The Chocolate Girl is an 18th-century pastel painting by Jean-Étienne Liotard depicting a maidservant carrying a tray with a cup of chocolate, celebrated for its delicate realism and luminous detail.
  • D. Coffee and Cigarettes
    Coffee and Cigarettes is an independent anthology film by Jim Jarmusch composed of a series of black-and-white vignettes in which various actors and musicians converse over coffee and cigarettes.
  • E. Sugar on a Stick
    Sugar on a Stick is a portable, USB-based distribution of the Sugar learning environment designed to provide children with an easy, bootable educational platform.
  • 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_69bd463d956c819088105c3db802c017 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8574c4b48190a0513ce59eedb564 completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18a117d48190a7fb45be0b002f4e completed March 21, 2026, 10:16 p.m.
Created at: March 20, 2026, 1:59 p.m.