Triple

T11383085
Position Surface form Disambiguated ID Type / Status
Subject Detroit Red Wings–Chicago Black Hawks rivalry E269646 entity
Predicate teamNickname P5076 FINISHED
Object Wings
Wings is the common shorthand nickname for the Detroit Red Wings, the historic NHL franchise based in Detroit.
E922460 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: [Detroit Red Wings–Chicago Black Hawks rivalry, teamNickname, Wings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wings
Context triple: [Detroit Red Wings–Chicago Black Hawks rivalry, teamNickname, Wings]
  • A. 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.
  • B. Wings
    Wings is the nickname and commonly used short name for the Dallas Wings, a professional women's basketball team in the WNBA.
  • C. 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.
  • D. Wings
    Wings is a 1966 Soviet drama film directed by Larisa Shepitko that explores the postwar life and inner struggles of a former World War II fighter pilot turned school principal.
  • E. Wings
    Wings is a smokeless tobacco brand produced by the American Snuff Company.
  • 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: [Detroit Red Wings–Chicago Black Hawks rivalry, teamNickname, Wings]
Generated description
Wings is the common shorthand nickname for the Detroit Red Wings, the historic NHL franchise based in Detroit.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wings
Target entity description: Wings is the common shorthand nickname for the Detroit Red Wings, the historic NHL franchise based in Detroit.
  • A. Wings
    Wings is the nickname and commonly used short name for the Dallas Wings, a professional women's basketball team in the WNBA.
  • B. Wings
    Wings is the short name of the Philadelphia Wings, a professional box lacrosse team based in Philadelphia.
  • C. Wings
    Wings is a smokeless tobacco brand produced by the American Snuff Company.
  • D. 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.
  • E. 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."
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc34f1f0819082dd977313ee6070 completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e556a99c8c8190b7439a548216e648 completed April 19, 2026, 10:26 p.m.
NEDg Description generation batch_69e562c8fb948190be87cca65c3b74e1 completed April 19, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69e56aaa5c9081909f89cfe6a8fc03f0 completed April 19, 2026, 11:52 p.m.
Created at: April 8, 2026, 9:34 p.m.