Triple

T9236793
Position Surface form Disambiguated ID Type / Status
Subject Stone Poneys E221956 entity
Predicate notableSong P4 FINISHED
Object Wings
"Wings" is a folk-rock song by the Stone Poneys, best known for featuring Linda Ronstadt’s early vocals and helping launch her career.
 E787437 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: Wings | Statement: [Stone Poneys, notableSong, Wings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wings
Context triple: [Stone Poneys, notableSong, Wings]
  • A. Wings
    Wings was a British-American rock band formed by Paul McCartney after The Beatles, known for hits like "Band on the Run" and "Live and Let Die."
  • B. Wings
    Wings is an American sitcom that aired in the 1990s, centered on the lives and misadventures of staff at a small regional airline on Nantucket Island.
  • C. Wings
    "Wings" is a track from the Black Eyed Peas' concept album *Masters of the Sun Vol. 1*, blending hip hop with socially conscious themes.
  • D. Wings
    Wings is the nickname and commonly used short name for the Dallas Wings, a professional women's basketball team in the WNBA.
  • E. Wings
    Wings is a 1927 silent World War I aviation film that became the first movie ever to win the Academy Award for Best Picture.
  • 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: Wings
Triple: [Stone Poneys, notableSong, Wings]
Generated description
"Wings" is a folk-rock song by the Stone Poneys, best known for featuring Linda Ronstadt’s early vocals and helping launch her career.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wings
Target entity description: "Wings" is a folk-rock song by the Stone Poneys, best known for featuring Linda Ronstadt’s early vocals and helping launch her career.
  • A. Wings
    Wings was a British-American rock band formed by Paul McCartney after The Beatles, known for hits like "Band on the Run" and "Live and Let Die."
  • B. Wings
    Wings is an American sitcom that aired in the 1990s, centered on the lives and misadventures of staff at a small regional airline on Nantucket Island.
  • C. Wings
    "Wings" is a track from the Black Eyed Peas' concept album *Masters of the Sun Vol. 1*, blending hip hop with socially conscious themes.
  • D. Wings
    Wings is the nickname and commonly used short name for the Dallas Wings, a professional women's basketball team in the WNBA.
  • E. Wings
    Wings is a 1927 silent World War I aviation film that became the first movie ever to win the Academy Award for Best Picture.
  • 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_69ca83ed628c8190bc02d641e57f097f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccf09e553081909cf864635cfc5dcc completed April 1, 2026, 10:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077cc774c8190bdbdd4071c11f096 completed April 4, 2026, 2:30 a.m.
NEDg Description generation batch_69d07c0344a081908e33e9fc844204d9 completed April 4, 2026, 2:48 a.m.
NED2 Entity disambiguation (via description) batch_69d07c5a82d88190a6b767a66ffd51ed completed April 4, 2026, 2:50 a.m.
Created at: March 30, 2026, 7:29 p.m.