Triple
T14114896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucky Shiner |
E339742
|
entity |
| Predicate | artist |
P184
|
FINISHED |
| Object | Gold Panda |
E339742
|
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: Gold Panda | Statement: [Lucky Shiner, artist, Gold Panda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gold Panda Context triple: [Lucky Shiner, artist, Gold Panda]
-
A.
Gold Panda
chosen
Gold Panda is a British electronic music producer and composer known for his intricate, sample-based tracks and critically acclaimed debut album "Lucky Shiner."
-
B.
Goldy
Goldy is a central figure in Chester Himes’s crime novel "A Rage in Harlem," known for his involvement in a chaotic, darkly comic caper in 1950s Harlem.
-
C.
Golden Pan
The Golden Pan is a prestigious literary award recognizing authors whose books have achieved significant commercial success, often marked by high sales milestones.
-
D.
Panda Po
"Panda Po" is a musical track from the score of the animated film "Kung Fu Panda" (2008), composed to reflect the character Po's personality and journey.
-
E.
Golden Gai
Golden Gai is a famous nightlife district in Tokyo known for its dense network of narrow alleys packed with tiny, atmospheric bars and eateries.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de600f992c81908133813f2894dcca |
completed | April 14, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0b881388190a5bcdd87fd10c516 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:22 p.m.