Triple

T13600304
Position Surface form Disambiguated ID Type / Status
Subject Anaconda E324923 entity
Predicate precededBySingle P97 FINISHED
Object Pills N Potions E1048816 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: Pills N Potions | Statement: [Anaconda, precededBySingle, Pills N Potions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pills N Potions
Context triple: [Anaconda, precededBySingle, Pills N Potions]
  • A. Pills N Potions chosen
    "Pills N Potions" is a melancholic hip hop and pop-rap single by Nicki Minaj that served as one of the lead tracks from her album *The Pinkprint*.
  • B. Potion
    "Potion" is a collaborative dance-pop single by Calvin Harris, Dua Lipa, and Young Thug known for its smooth, summery production and catchy, laid-back vibe.
  • C. Magic Potion
    Magic Potion is a 2006 blues-rock album by American duo The Black Keys, known for its raw, guitar-driven sound and garage rock aesthetic.
  • D. Puking Pastilles
    Puking Pastilles are a magical joke sweet from the Harry Potter series that makes the eater violently vomit to fake illness and then quickly recover.
  • E. Piller
    Piller is a surname most notably associated with Michael Piller, a prominent American television writer and producer known for his influential work on the Star Trek franchise.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07ad3f48190a2173e42c5cfedb1 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78ae394748190b6a0f9a085b7dea6 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:49 p.m.