Triple

T22575608
Position Surface form Disambiguated ID Type / Status
Subject Lyricist Lounge, Volume One E544382 entity
Predicate featuresArtist P1952 FINISHED
Object Posdnuos 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: Posdnuos | Statement: [Lyricist Lounge, Volume One, featuresArtist, Posdnuos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Posdnuos
Context triple: [Lyricist Lounge, Volume One, featuresArtist, Posdnuos]
  • A. Posdnuos chosen
    Posdnuos is an American rapper, producer, and founding member of the influential hip hop group De La Soul.
  • B. Poson
    Poson is a major Sri Lankan Buddhist festival that commemorates the introduction of Buddhism to the island, marked by religious observances, pilgrimages, and cultural celebrations.
  • C. Poiares
    Poiares is a civil parish located within the municipality of Freixo de Espada à Cinta in northeastern Portugal.
  • D. Potes
    Potes is a historic mountain town in northern Spain’s Cantabria region, known as a gateway to the Picos de Europa and for its traditional stone architecture and scenic river setting.
  • E. Posit
    Posit is a data science and analytics software company best known for developing and supporting the RStudio integrated development environment and related open-source and enterprise tools.
  • 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_69e11e30d05481909df915354c89f0d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f15fecf1c8819091a05f2a1b93ca8a completed April 29, 2026, 1:33 a.m.
Created at: April 16, 2026, 8:53 p.m.