Triple

T15950469
Position Surface form Disambiguated ID Type / Status
Subject Feels Good E386801 entity
Predicate recordLabelImprint P34456 FINISHED
Object Wing
Wing is a record label imprint associated with the release of the song "Feels Good."
 E1186749 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: Wing | Statement: [Feels Good, recordLabelImprint, Wing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wing
Context triple: [Feels Good, recordLabelImprint, Wing]
  • A. Wing
    Wing is an experimental mobile operating system and user interface project developed by X (formerly Google X) to explore new paradigms in smartphone interaction and design.
  • B. Wing
    Wing is an Alphabet Inc. subsidiary focused on developing and operating drone-based delivery services and related logistics technologies.
  • C. Wing
    Wing is a Japanese lingerie and intimate apparel brand known for its comfortable, everyday undergarments for women.
  • D. One Wing
    "One Wing" is an emotional R&B ballad by American singer Jordin Sparks that showcases her powerful vocals and explores themes of heartbreak and resilience.
  • E. Big Wing
    Big Wing was a World War II Royal Air Force fighter tactic that involved massing large formations of fighters to intercept enemy raids, most notably during the Battle of Britain.
  • 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: Wing
Triple: [Feels Good, recordLabelImprint, Wing]
Generated description
Wing is a record label imprint associated with the release of the song "Feels Good."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wing
Target entity description: Wing is a record label imprint associated with the release of the song "Feels Good."
  • A. Wing
    Wing is an experimental mobile operating system and user interface project developed by X (formerly Google X) to explore new paradigms in smartphone interaction and design.
  • B. Wing
    Wing is an Alphabet Inc. subsidiary focused on developing and operating drone-based delivery services and related logistics technologies.
  • C. Wing
    Wing is a Japanese lingerie and intimate apparel brand known for its comfortable, everyday undergarments for women.
  • D. One Wing
    "One Wing" is an emotional R&B ballad by American singer Jordin Sparks that showcases her powerful vocals and explores themes of heartbreak and resilience.
  • E. Big Wing
    Big Wing was a World War II Royal Air Force fighter tactic that involved massing large formations of fighters to intercept enemy raids, most notably during the Battle of Britain.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d4c5008190a56ebf8c28f712dc completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe78a76481909622d7a2443cba4d completed May 9, 2026, 11:08 p.m.
NEDg Description generation batch_69ffbf7f96508190a0d9ea3622e1be06 completed May 9, 2026, 11:13 p.m.
NED2 Entity disambiguation (via description) batch_69ffc00c59f881909c42320f5dcc777b completed May 9, 2026, 11:15 p.m.
Created at: April 10, 2026, 4:53 a.m.