Triple

T22576102
Position Surface form Disambiguated ID Type / Status
Subject Ski Beatz E544399 entity
Predicate producedFor P1576 FINISHED
Object Murs 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: Murs | Statement: [Ski Beatz, producedFor, Murs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murs
Context triple: [Ski Beatz, producedFor, Murs]
  • A. Murs
    Murs is a small commune in southeastern France, situated in the Vaucluse department within the Provence-Alpes-Côte d'Azur region.
  • B. Murs chosen
    Murs is an American underground hip hop rapper known for his storytelling lyricism, independent ethos, and collaborations with artists like 9th Wonder and groups such as Living Legends.
  • C. Murlo
    Murlo is a small historic municipality in Tuscany, Italy, known for its Etruscan archaeological heritage and picturesque rural landscape.
  • D. Murzuq
    Murzuq is an oasis town in southwestern Libya that historically served as an important Saharan trade and caravan center in the Fezzan region.
  • E. Moross
    Moross is a surname most notably associated with American composer Jerome Moross, known for his film and television scores and concert works.
  • 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.