Triple
T10040157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Slang |
E205273
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Stay Lucky
"Stay Lucky" is a colloquial American expression used as a casual farewell or good wish, implying a hope that someone continues to experience good fortune.
|
E838151
|
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: Stay Lucky | Statement: [American Slang, hasPart, Stay Lucky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stay Lucky Context triple: [American Slang, hasPart, Stay Lucky]
-
A.
Lucky You
Lucky You is a 2007 romantic drama film set in the high-stakes world of professional poker in Las Vegas, starring Eric Bana and Drew Barrymore.
-
B.
The Luckiest
"The Luckiest" is a tender piano ballad by singer-songwriter Ben Folds, celebrated for its heartfelt lyrics about love, fate, and lifelong companionship.
-
C.
Lucky
Lucky is a regional supermarket chain brand in the United States known for its neighborhood grocery stores and value-focused offerings.
-
D.
Lucky
Lucky is a recurring dog character in the animated children's series "Bluey," known as Bluey's sporty next-door neighbor and friend.
-
E.
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.
- 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: Stay Lucky Triple: [American Slang, hasPart, Stay Lucky]
Generated description
"Stay Lucky" is a colloquial American expression used as a casual farewell or good wish, implying a hope that someone continues to experience good fortune.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stay Lucky Target entity description: "Stay Lucky" is a colloquial American expression used as a casual farewell or good wish, implying a hope that someone continues to experience good fortune.
-
A.
Lucky You
Lucky You is a 2007 romantic drama film set in the high-stakes world of professional poker in Las Vegas, starring Eric Bana and Drew Barrymore.
-
B.
The Luckiest
"The Luckiest" is a tender piano ballad by singer-songwriter Ben Folds, celebrated for its heartfelt lyrics about love, fate, and lifelong companionship.
-
C.
Lucky
Lucky is a regional supermarket chain brand in the United States known for its neighborhood grocery stores and value-focused offerings.
-
D.
Lucky
Lucky is a recurring dog character in the animated children's series "Bluey," known as Bluey's sporty next-door neighbor and friend.
-
E.
Lucky
"Lucky" is a popular Afrobeats/hip-hop song by Ghanaian rapper Sarkodie, known for its smooth blend of rap and melodic vocals.
- 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_69ca834f70e88190b2d74828b7767ec1 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcee186708190bc9fecd637b4f7e6 |
completed | April 2, 2026, 2:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29a2cbdd08190b1ef7602ad160114 |
completed | April 5, 2026, 5:21 p.m. |
| NEDg | Description generation | batch_69d29b28f48081909f7e0487800ebe52 |
completed | April 5, 2026, 5:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d29be3713c819089843c4ec2be93f1 |
completed | April 5, 2026, 5:29 p.m. |
Created at: March 30, 2026, 8:55 p.m.