Triple

T2009285
Position Surface form Disambiguated ID Type / Status
Subject Wings E43654 entity
Predicate notableWork P4 FINISHED
Object With a Little Luck
"With a Little Luck" is a soft rock song by Paul McCartney and his band Wings, released in 1978 and known for its mellow, synth-driven sound and commercial success.
E226130 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: With a Little Luck | Statement: [Wings, notableWork, With a Little Luck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: With a Little Luck
Context triple: [Wings, notableWork, With a Little Luck]
  • A. Lucky Town
    Lucky Town is a 1992 rock album by Bruce Springsteen that blends heartland rock with introspective, personal songwriting.
  • B. To-Lucky
    To-Lucky is one of the official mascots of Japan’s Hanshin Tigers baseball team, typically depicted as a cheerful anthropomorphic tiger supporting the club at games and events.
  • C. That Fortune
    "That Fortune" is a lesser-known novel by American essayist and editor Charles Dudley Warner, reflecting his characteristic blend of social observation and genteel humor.
  • D. My Lucky Day
    "My Lucky Day" is a rock song by Bruce Springsteen featured on his 2009 album *Working on a Dream*.
  • E. Lucky Guy
    Lucky Guy is a Broadway play by Nora Ephron that dramatizes the career of New York tabloid columnist Mike McAlary.
  • 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: With a Little Luck
Triple: [Wings, notableWork, With a Little Luck]
Generated description
"With a Little Luck" is a soft rock song by Paul McCartney and his band Wings, released in 1978 and known for its mellow, synth-driven sound and commercial success.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: With a Little Luck
Target entity description: "With a Little Luck" is a soft rock song by Paul McCartney and his band Wings, released in 1978 and known for its mellow, synth-driven sound and commercial success.
  • A. Lucky Town
    Lucky Town is a 1992 rock album by Bruce Springsteen that blends heartland rock with introspective, personal songwriting.
  • B. To-Lucky
    To-Lucky is one of the official mascots of Japan’s Hanshin Tigers baseball team, typically depicted as a cheerful anthropomorphic tiger supporting the club at games and events.
  • C. That Fortune
    "That Fortune" is a lesser-known novel by American essayist and editor Charles Dudley Warner, reflecting his characteristic blend of social observation and genteel humor.
  • D. My Lucky Day
    "My Lucky Day" is a rock song by Bruce Springsteen featured on his 2009 album *Working on a Dream*.
  • E. Lucky Guy
    Lucky Guy is a Broadway play by Nora Ephron that dramatizes the career of New York tabloid columnist Mike McAlary.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb89be08c81909eb5ea672ea46b2b completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0ae395a08190abf2077ad7a975ba completed March 8, 2026, 11:48 p.m.
NEDg Description generation batch_69ae0bb8b34c81908f817bb1fbcb1873 completed March 8, 2026, 11:52 p.m.
NED2 Entity disambiguation (via description) batch_69ae0c20aaf48190852334f9c76d0d18 completed March 8, 2026, 11:54 p.m.
Created at: March 4, 2026, 7:37 p.m.