Triple
T6373359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daft Punk |
E143402
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Get Lucky |
E219435
|
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: Get Lucky | Statement: [Daft Punk, notableWork, Get Lucky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Get Lucky Context triple: [Daft Punk, notableWork, Get Lucky]
-
A.
Get Lucky
chosen
"Get Lucky" is a globally successful 2013 disco-funk single by Daft Punk featuring Pharrell Williams and Nile Rodgers, known for its catchy groove and retro-inspired sound.
-
B.
Lucky
Lucky is a regional supermarket chain brand in the United States known for its neighborhood grocery stores and value-focused offerings.
-
C.
Lucky
"Lucky" is a popular Afrobeats/hip-hop song by Ghanaian rapper Sarkodie, known for its smooth blend of rap and melodic vocals.
-
D.
Lucky
"Lucky" is a popular duet by American singers Colbie Caillat and Jason Mraz, known for its mellow acoustic pop style and romantic lyrics.
-
E.
Lucky
Lucky is a tormented, subservient figure in Samuel Beckett’s play "Waiting for Godot," known for his near-muteness and one explosive, chaotic monologue that reflects the play’s themes of absurdity and existential despair.
- 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_69c008d9f4348190ab598a2913259a1c |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c068390af08190967a3d25ec9a50e5 |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d9203988190a535b4f06f478292 |
completed | March 27, 2026, 7:11 a.m. |
Created at: March 22, 2026, 4:33 p.m.