Triple

T8405293
Position Surface form Disambiguated ID Type / Status
Subject David Lee E198480 entity
Predicate notableWork P4 FINISHED
Object Wings
"Wings" is a 1927 silent World War I aviation film that won the first-ever Academy Award for Best Picture and is noted for its groundbreaking aerial combat sequences.
 E299350 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: [David Lee, notableWork, Wings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wings
Context triple: [David Lee, notableWork, 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: [David Lee, notableWork, Wings]
Generated description
"Wings" is a 1927 silent World War I aviation film that won the first-ever Academy Award for Best Picture and is noted for its groundbreaking aerial combat sequences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wings
Target entity description: "Wings" is a 1927 silent World War I aviation film that won the first-ever Academy Award for Best Picture and is noted for its groundbreaking aerial combat sequences.
  • 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 chosen
    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.

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_69ca8310df9c8190b25f16161cca3e41 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb83116bf48190894bd5d5465520ef completed March 31, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce02f8596c8190a61b6f1ffd5a609c completed April 2, 2026, 5:47 a.m.
NEDg Description generation batch_69ce077f25648190b9a95fb72f5b4f8c completed April 2, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69ce08e192088190ad8170b1bedd568d completed April 2, 2026, 6:12 a.m.
Created at: March 30, 2026, 6:05 p.m.