Triple
T5159926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicken-n-Beer |
E116410
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Red Spyda |
E452140
|
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: Red Spyda | Statement: [Chicken-n-Beer, producer, Red Spyda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Spyda Context triple: [Chicken-n-Beer, producer, Red Spyda]
-
A.
Red Spyda
chosen
Red Spyda is a hip-hop music producer known for crafting gritty, sample-driven beats for prominent rap artists and soundtracks.
-
B.
The Spy
"The Spy" is an 1821 historical novel by James Fenimore Cooper set during the American Revolutionary War, often regarded as one of the earliest major works of American fiction.
-
C.
The Spy
The Spy is a film featuring Russian actress Svetlana Khodchenkova in a prominent role within a Cold War espionage narrative.
-
D.
The Spike
The Spike is a tall, stainless-steel needle-like monument in central Dublin that serves as a prominent modern city landmark.
-
E.
SPY
SPY is the SPDR S&P 500 ETF, a widely traded fund that tracks the performance of the S&P 500 stock market index.
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd790613bc819084765cd4ea648dc9 |
completed | March 20, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed01ce48081908813348b762bf1b0 |
completed | March 21, 2026, 5:06 p.m. |
Created at: March 20, 2026, 1:44 p.m.