Triple

T13738068
Position Surface form Disambiguated ID Type / Status
Subject Manifesto E330003 entity
Predicate producer P490 FINISHED
Object MoSS
MoSS is a hip-hop music producer known for crafting gritty, sample-based beats for various underground and mainstream rap artists.
E1057407 NE FINISHED

How this triple was built (4 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: MoSS | Statement: [Manifesto, producer, MoSS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MoSS
Context triple: [Manifesto, producer, MoSS]
  • A. Moss
    Moss is the NATO reporting name for the Tupolev Tu-126, a Soviet-era airborne early warning and control (AWACS) aircraft developed from the Tu-114 airliner.
  • B. Moss
    Moss is a masculine given name most notably borne by American playwright and director Moss Hart.
  • C. Moss
    Moss is a common English surname borne by numerous notable individuals across fields such as acting, sports, and politics.
  • D. Moss
    Moss is a 2022 indie-folk and alternative album by American singer-songwriter and actress Maya Hawke, showcasing her introspective lyrics and mellow, atmospheric sound.
  • E. Moss
    Moss is a coastal town and municipality in southeastern Norway known for its industrial history, cultural life, and role as a regional hub in Østfold.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MoSS
Triple: [Manifesto, producer, MoSS]
Generated description
MoSS is a hip-hop music producer known for crafting gritty, sample-based beats for various underground and mainstream rap artists.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MoSS
Target entity description: MoSS is a hip-hop music producer known for crafting gritty, sample-based beats for various underground and mainstream rap artists.
  • A. Moss
    Moss is the NATO reporting name for the Tupolev Tu-126, a Soviet-era airborne early warning and control (AWACS) aircraft developed from the Tu-114 airliner.
  • B. Moss
    Moss is a masculine given name most notably borne by American playwright and director Moss Hart.
  • C. Moss
    Moss is a common English surname borne by numerous notable individuals across fields such as acting, sports, and politics.
  • D. Moss
    Moss is a 2022 indie-folk and alternative album by American singer-songwriter and actress Maya Hawke, showcasing her introspective lyrics and mellow, atmospheric sound.
  • E. Moss
    Moss is a coastal town and municipality in southeastern Norway known for its industrial history, cultural life, and role as a regional hub in Østfold.
  • F. None of above. chosen

Provenance (5 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de0204d50c8190a5413cc9a1b26e14 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d68da04819089c95d9bfedc7496 completed May 3, 2026, 7:09 p.m.
NEDg Description generation batch_69f79f1051b48190ac4704b43e759237 completed May 3, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69f79fdf974081909108b0fd89e76d56 completed May 3, 2026, 7:19 p.m.
Created at: April 9, 2026, 9:55 p.m.