Triple

T7962532
Position Surface form Disambiguated ID Type / Status
Subject Don't Quit Your Day Job! E184903 entity
Predicate producer P490 FINISHED
Object The ARE
The ARE is a hip-hop producer known for his soulful, sample-based beats and collaborations within the underground rap scene.
 E703279 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: The ARE | Statement: [Don't Quit Your Day Job!, producer, The ARE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The ARE
Context triple: [Don't Quit Your Day Job!, producer, The ARE]
  • A. ARES
    ARES is a higher education and research organization in Belgium that coordinates and represents French-speaking universities and institutions, including the University of Namur.
  • B. ARA
    ARA is the French administrative region of Auvergne-Rhône-Alpes, located in the southeast-central part of France and known for its diverse landscapes and major cities like Lyon and Grenoble.
  • C. ARA
    ARA is the station code for Ara Junction, a railway station in Bihar, India, on the Patna–Mughalsarai section of the Indian Railways network.
  • D. Arke
    Arke was a Dutch leisure airline and tour operator brand that later became part of TUI and was rebranded as TUI fly Netherlands.
  • E. Arkesini
    Arkesini is a small traditional village on the Greek island of Amorgos, known for its ancient ruins and scenic Aegean setting.
  • 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: The ARE
Triple: [Don't Quit Your Day Job!, producer, The ARE]
Generated description
The ARE is a hip-hop producer known for his soulful, sample-based beats and collaborations within the underground rap scene.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The ARE
Target entity description: The ARE is a hip-hop producer known for his soulful, sample-based beats and collaborations within the underground rap scene.
  • A. ARES
    ARES is a higher education and research organization in Belgium that coordinates and represents French-speaking universities and institutions, including the University of Namur.
  • B. ARA
    ARA is the French administrative region of Auvergne-Rhône-Alpes, located in the southeast-central part of France and known for its diverse landscapes and major cities like Lyon and Grenoble.
  • C. ARA
    ARA is the station code for Ara Junction, a railway station in Bihar, India, on the Patna–Mughalsarai section of the Indian Railways network.
  • D. Arke
    Arke was a Dutch leisure airline and tour operator brand that later became part of TUI and was rebranded as TUI fly Netherlands.
  • E. Arkesini
    Arkesini is a small traditional village on the Greek island of Amorgos, known for its ancient ruins and scenic Aegean setting.
  • 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_69ca8293a2388190aace944d7ed9c0c0 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b9df72081908d33925da10192e9 completed March 31, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe08c36f48190b005c6c92ad813d0 completed March 31, 2026, 2:56 p.m.
NEDg Description generation batch_69cbe43b20148190ba9a4dd00a9f5862 completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc3307ebd481908c1ec4b0be270a77 completed March 31, 2026, 8:48 p.m.
Created at: March 30, 2026, 5:12 p.m.