Triple

T13696933
Position Surface form Disambiguated ID Type / Status
Subject Murs E328407 entity
Predicate associatedAct P37 FINISHED
Object Living Legends E1055234 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: Living Legends | Statement: [Murs, associatedAct, Living Legends]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Living Legends
Context triple: [Murs, associatedAct, Living Legends]
  • A. Living Legends chosen
    Living Legends is an underground hip hop collective from California known for its independent ethos and influential contributions to West Coast alternative rap.
  • B. Legendary
    Legendary is a 2010 sports drama film produced by WWE Studios that follows a young amateur wrestler trying to reconnect with his estranged family through the sport.
  • C. Legendary
    "Legendary" is a hip-hop studio album by rapper AZ, showcasing his lyrical prowess and veteran presence in the genre.
  • D. Legenda
    "Legenda" is a dramatic or literary work by Polish playwright, painter, and poet Stanisław Wyspiański, reflecting his characteristic blend of symbolism and national themes.
  • E. Legends
    "Legends" is a country-pop song by American singer-songwriter Kelsea Ballerini, known for its reflective lyrics about love, loss, and the enduring impact of past relationships.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8773f388190b2413b1e05fd5fd7 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d4f35888190b2c3df62bde1ce6e completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:54 p.m.