Triple

T22167296
Position Surface form Disambiguated ID Type / Status
Subject Lucky Stores E547827 entity
Predicate brandOf P1500 FINISHED
Object Lucky
Lucky is a regional supermarket chain brand in the United States known for its neighborhood grocery stores, particularly in California.
E547822 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: Lucky | Statement: [Lucky Stores, brandOf, Lucky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucky
Context triple: [Lucky Stores, brandOf, Lucky]
  • A. Lucky
    "Lucky" is a popular Afrobeats/hip-hop song by Ghanaian rapper Sarkodie, known for its smooth blend of rap and melodic vocals.
  • B. Lucky
    "Lucky" is a popular duet by American singers Colbie Caillat and Jason Mraz, known for its mellow acoustic pop style and romantic lyrics.
  • C. Lucky
    Lucky is a contemplative 2017 independent film starring Harry Dean Stanton as a nonagenarian atheist confronting mortality in a small desert town.
  • D. Lucky
    "Lucky" is a song by the English rock band Radiohead, featured on their acclaimed 1997 album OK Computer.
  • E. Lucky
    Lucky is a minor vulture character in Disney’s animated film "The Jungle Book 2," known for his comic relief and distinctive, talkative personality.
  • 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: Lucky
Triple: [Lucky Stores, brandOf, Lucky]
Generated description
Lucky is a regional supermarket chain brand in the United States known for its neighborhood grocery stores, particularly in California.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lucky
Target entity description: Lucky is a regional supermarket chain brand in the United States known for its neighborhood grocery stores, particularly in California.
  • A. Lucky chosen
    Lucky is a regional supermarket chain brand in the United States known for its neighborhood grocery stores and value-focused offerings.
  • B. Lucky
    Lucky is a recurring dog character in the animated children's series "Bluey," known as Bluey's sporty next-door neighbor and friend.
  • C. Lucky
    Lucky is a bestselling novel by Jackie Collins that follows the glamorous, ruthless world of Lucky Santangelo in the high-stakes realms of power, sex, and crime.
  • D. Lucky
    Lucky is the nickname of John "Lucky" Garnett, likely highlighting a reputation for good fortune or narrow escapes.
  • E. Lucky
    "Lucky" is a studio album by the American rock band Fifteen, known for its politically charged punk sound and socially conscious lyrics.
  • 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_69e11e3c4c5c81908d336165816b12e0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a3213ec8190841439dbe470d545 completed April 28, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a9ec0dc408190bd15bbbf0f5a79d9 completed May 18, 2026, 5:08 a.m.
NEDg Description generation batch_6a0aa2a6e9fc819086e7fac0c1214dee completed May 18, 2026, 5:24 a.m.
NED2 Entity disambiguation (via description) batch_6a0aa3b7b23c8190bf50afa02a75f326 completed May 18, 2026, 5:29 a.m.
Created at: April 16, 2026, 8:34 p.m.