Triple

T16729490
Position Surface form Disambiguated ID Type / Status
Subject My Turn E406549 entity
Predicate producer P490 FINISHED
Object Evrgrn
Evrgrn is a music production team known for crafting polished, contemporary pop and R&B tracks for various artists.
 E1231192 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: Evrgrn | Statement: [My Turn, producer, Evrgrn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Evrgrn
Context triple: [My Turn, producer, Evrgrn]
  • A. Grenen
    Grenen is a scenic sandbar at the northern tip of Denmark where the Skagerrak and Kattegat seas meet, known for its unique coastal landscape and wildlife.
  • B. Gruene
    Gruene is a historic district and former town in New Braunfels, Texas, known for its preserved 19th-century buildings, live music at Gruene Hall, and riverside tourism.
  • C. Verde
    Verde is a popular nickname for Austin FC, Major League Soccer’s Austin-based club known for its bright green branding and vibrant supporter culture.
  • D. Greeny
    Greeny is the famous 1959 Gibson Les Paul Standard guitar closely associated with Fleetwood Mac guitarist Peter Green and later Gary Moore and Kirk Hammett.
  • E. Balgreen
    Balgreen is a residential suburb in the west of Edinburgh, Scotland, known for its local parkland and proximity to the city’s tram and rail links.
  • 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: Evrgrn
Triple: [My Turn, producer, Evrgrn]
Generated description
Evrgrn is a music production team known for crafting polished, contemporary pop and R&B tracks for various artists.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Evrgrn
Target entity description: Evrgrn is a music production team known for crafting polished, contemporary pop and R&B tracks for various artists.
  • A. Grenen
    Grenen is a scenic sandbar at the northern tip of Denmark where the Skagerrak and Kattegat seas meet, known for its unique coastal landscape and wildlife.
  • B. Gruene
    Gruene is a historic district and former town in New Braunfels, Texas, known for its preserved 19th-century buildings, live music at Gruene Hall, and riverside tourism.
  • C. Verde
    Verde is a popular nickname for Austin FC, Major League Soccer’s Austin-based club known for its bright green branding and vibrant supporter culture.
  • D. Greeny
    Greeny is the famous 1959 Gibson Les Paul Standard guitar closely associated with Fleetwood Mac guitarist Peter Green and later Gary Moore and Kirk Hammett.
  • E. Balgreen
    Balgreen is a residential suburb in the west of Edinburgh, Scotland, known for its local parkland and proximity to the city’s tram and rail links.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3874ad5b481908199e4d99ac4225e completed April 18, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d483a8c8190b127f32dcc21be5a completed May 10, 2026, 2:59 p.m.
NEDg Description generation batch_6a00a12d77d8819087948d870e952ebb completed May 10, 2026, 3:15 p.m.
NED2 Entity disambiguation (via description) batch_6a00a1adb95c8190b0db1ef2dc0b7f13 completed May 10, 2026, 3:18 p.m.
Created at: April 10, 2026, 5:20 a.m.