Triple
T18088182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andy Prieboy |
E432894
|
entity |
| Predicate | creativeWork |
P18814
|
FINISHED |
| Object | EP "Monte Carlo Method" |
—
|
NE NERFINISHED |
How this triple was built (3 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: EP "Monte Carlo Method" | Statement: [Andy Prieboy, creativeWork, EP "Monte Carlo Method"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EP "Monte Carlo Method" Context triple: [Andy Prieboy, creativeWork, EP "Monte Carlo Method"]
-
A.
Monte Carlo method
The Monte Carlo method is a computational technique that uses random sampling to approximate numerical results, especially for complex integrals, simulations, and probabilistic systems.
-
B.
Monte Carlo
Monte Carlo is a famous district of Monaco renowned for its luxury casinos, upscale resorts, and role as a glamorous hub for high-end tourism and events like the Monaco Grand Prix.
-
C.
Metropolis algorithm
The Metropolis algorithm is a foundational Markov chain Monte Carlo method used to sample from complex probability distributions by accepting or rejecting proposed moves according to a specific probabilistic rule.
-
D.
Buffon’s needle problem
Buffon’s needle problem is a classic probability puzzle that involves dropping a needle on a lined surface to estimate the value of π.
-
E.
The Metropolis Ensemble
The Metropolis Ensemble is a New York–based contemporary chamber orchestra known for innovative collaborations and performances of new and experimental classical music.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EP "Monte Carlo Method" Target entity description: "Monte Carlo Method" is an EP by American singer-songwriter Andy Prieboy, showcasing his distinctive blend of rock, pop, and darkly witty storytelling.
-
A.
Monte Carlo method
The Monte Carlo method is a computational technique that uses random sampling to approximate numerical results, especially for complex integrals, simulations, and probabilistic systems.
-
B.
Monte Carlo
Monte Carlo is a famous district of Monaco renowned for its luxury casinos, upscale resorts, and role as a glamorous hub for high-end tourism and events like the Monaco Grand Prix.
-
C.
Metropolis algorithm
The Metropolis algorithm is a foundational Markov chain Monte Carlo method used to sample from complex probability distributions by accepting or rejecting proposed moves according to a specific probabilistic rule.
-
D.
Buffon’s needle problem
Buffon’s needle problem is a classic probability puzzle that involves dropping a needle on a lined surface to estimate the value of π.
-
E.
The Metropolis Ensemble
The Metropolis Ensemble is a New York–based contemporary chamber orchestra known for innovative collaborations and performances of new and experimental classical music.
- F. None of above. chosen
Provenance (2 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd16234c8190b547e893a829d6c5 |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 10:27 a.m.