Triple

T22053351
Position Surface form Disambiguated ID Type / Status
Subject Plain Rap E544940 entity
Predicate hasPart P35 FINISHED
Object Mixedgreens
Mixedgreens is a track featured on the hip-hop project "Plain Rap," contributing to the album's laid-back, lyrically driven sound.
 E1514839 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: Mixedgreens | Statement: [Plain Rap, hasPart, Mixedgreens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mixedgreens
Context triple: [Plain Rap, hasPart, Mixedgreens]
  • A. Kale
    Kale is a small irregular moon of Jupiter belonging to the planet’s distant, retrograde outer satellite group.
  • B. Kale
    Kale is a town in Myanmar’s Sagaing Region, known as a local commercial and transport hub in the country’s northwest.
  • C. Kale
    Kale is a town and district in Turkey’s Antalya Province, historically known as Demre and famed for its association with Saint Nicholas and ancient Myra.
  • D. Kale
    Kale is a district-level administrative area within Turkey, known for its location in Malatya Province in the Eastern Anatolia region.
  • E. VEGY
    VEGY is the ICAO airport code for Gaya Airport, a public airport serving the city of Gaya in the Indian state of Bihar.
  • 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: Mixedgreens
Triple: [Plain Rap, hasPart, Mixedgreens]
Generated description
Mixedgreens is a track featured on the hip-hop project "Plain Rap," contributing to the album's laid-back, lyrically driven sound.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mixedgreens
Target entity description: Mixedgreens is a track featured on the hip-hop project "Plain Rap," contributing to the album's laid-back, lyrically driven sound.
  • A. Kale
    Kale is a small irregular moon of Jupiter belonging to the planet’s distant, retrograde outer satellite group.
  • B. Kale
    Kale is a town in Myanmar’s Sagaing Region, known as a local commercial and transport hub in the country’s northwest.
  • C. Kale
    Kale is a town and district in Turkey’s Antalya Province, historically known as Demre and famed for its association with Saint Nicholas and ancient Myra.
  • D. Kale
    Kale is a district-level administrative area within Turkey, known for its location in Malatya Province in the Eastern Anatolia region.
  • E. VEGY
    VEGY is the ICAO airport code for Gaya Airport, a public airport serving the city of Gaya in the Indian state of Bihar.
  • 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_69e11e3377c48190890c17407b9527d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12855c7708190a8de44837140b654 completed April 28, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a7b7d735c8190bdfd9ceb60e63038 completed May 18, 2026, 2:37 a.m.
NEDg Description generation batch_6a0a7bdd8a2c81909d189a6c86906a85 completed May 18, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_6a0a7c9887ec81908638c72bbfca1580 completed May 18, 2026, 2:42 a.m.
Created at: April 16, 2026, 8:26 p.m.