Triple

T14043254
Position Surface form Disambiguated ID Type / Status
Subject Scars on Broadway E337897 entity
Predicate associatedAct P37 FINISHED
Object Achozen E775326 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: Achozen | Statement: [Scars on Broadway, associatedAct, Achozen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Achozen
Context triple: [Scars on Broadway, associatedAct, Achozen]
  • A. Achozen chosen
    Achozen is an experimental hip hop project featuring System of a Down bassist Shavo Odadjian and Wu-Tang Clan member RZA, known for its genre-blending, psychedelic sound.
  • B. Achagua
    Achagua are an Indigenous people of the Orinoco region in Colombia and Venezuela, traditionally known for their riverine lifestyle, agriculture, and distinct Arawakan language.
  • C. Atchin
    Atchin is an Oceanic language variety spoken on Atchin Island off the northeast coast of Malakula in Vanuatu.
  • D. Achao
    Achao is a small coastal town on Quinchao Island in southern Chile, known for its traditional wooden architecture and historic UNESCO-listed church.
  • E. Chakosi
    Chakosi is a Gur language spoken primarily by the Chakosi (Anufo) people in parts of Ghana, Togo, and Benin.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de312b94308190bd0961f5bc719c7b completed April 14, 2026, 12:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc33f79a88190999978d7f34632cd completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:20 p.m.