Triple
T12170389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luckies |
E289944
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Luckys |
E289944
|
NE FINISHED |
How this triple was built (2 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: Luckys | Statement: [Luckies, hasSpellingVariant, Luckys]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luckys Context triple: [Luckies, hasSpellingVariant, Luckys]
-
A.
Lucky stores
Lucky stores is a regional supermarket chain in the western United States, operating as a division of Save Mart Supermarkets and offering a full range of grocery and household products.
-
B.
Luckies
chosen
Luckies is a popular nickname for Lucky Strike, a historic American cigarette brand known for its distinctive packaging and long-standing presence in tobacco marketing.
-
C.
Springfield Lucky Horseshoes
The Springfield Lucky Horseshoes are a collegiate summer baseball team based in Springfield, Illinois.
-
D.
Lucky
"Lucky" is a popular Afrobeats/hip-hop song by Ghanaian rapper Sarkodie, known for its smooth blend of rap and melodic vocals.
-
E.
Lucky
"Lucky" is a popular duet by American singers Colbie Caillat and Jason Mraz, known for its mellow acoustic pop style and romantic lyrics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d9659481909c75b12aa836bbf3 |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6a45568819090662cd3547c9253 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:50 p.m.