Triple

T3138942
Position Surface form Disambiguated ID Type / Status
Subject It's Almost Dry E65596 entity
Predicate producer P490 FINISHED
Object FnZ
FnZ is a hip-hop production duo known for crafting atmospheric, hard-hitting beats for prominent rap artists.
 E328992 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: FnZ | Statement: [It's Almost Dry, producer, FnZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FnZ
Context triple: [It's Almost Dry, producer, FnZ]
  • A. ZF
    ZF is the standard axiomatic framework for set theory that underpins much of modern mathematics.
  • B. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • C. ZNG
    ZNG is the three-letter station code used to identify Notting Hill Gate Underground station on the London Underground network.
  • D. ZUE
    ZUE is the railway station code for Zürich Hauptbahnhof, Switzerland’s largest and busiest train station and a major European rail hub.
  • E. LZ
    LZ is the stock ticker symbol for The Lubrizol Corporation, a specialty chemicals company known for its lubricant additives and advanced materials.
  • 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: FnZ
Triple: [It's Almost Dry, producer, FnZ]
Generated description
FnZ is a hip-hop production duo known for crafting atmospheric, hard-hitting beats for prominent rap artists.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FnZ
Target entity description: FnZ is a hip-hop production duo known for crafting atmospheric, hard-hitting beats for prominent rap artists.
  • A. ZF
    ZF is the standard axiomatic framework for set theory that underpins much of modern mathematics.
  • B. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • C. ZNG
    ZNG is the three-letter station code used to identify Notting Hill Gate Underground station on the London Underground network.
  • D. ZUE
    ZUE is the railway station code for Zürich Hauptbahnhof, Switzerland’s largest and busiest train station and a major European rail hub.
  • E. LZ
    LZ is the stock ticker symbol for The Lubrizol Corporation, a specialty chemicals company known for its lubricant additives and advanced materials.
  • 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_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada575bbac81909b1b95126f488809 completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f8b2ae4819085210a722e8650ca completed March 12, 2026, 12:57 a.m.
NEDg Description generation batch_69b20febc2608190ba5e613752996f17 completed March 12, 2026, 12:59 a.m.
NED2 Entity disambiguation (via description) batch_69b210a290088190aaa10a015519e1de completed March 12, 2026, 1:02 a.m.
Created at: March 8, 2026, 3:05 p.m.