Triple
T36488059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stan |
E898984
|
entity |
| Predicate | primaryInferenceMethod |
P203972
|
FINISHED |
| Object | Hamiltonian Monte Carlo |
E260030
|
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: Hamiltonian Monte Carlo | Statement: [Stan, primaryInferenceMethod, Hamiltonian Monte Carlo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryInferenceMethod Context triple: [Stan, primaryInferenceMethod, Hamiltonian Monte Carlo]
-
A.
primaryApproachTo
chosen
Indicates that one entity is the main or preferred method, strategy, or means used to achieve, address, or interact with another entity.
-
B.
primaryInterpretation
Indicates that one interpretation of an entity, expression, or signal is designated as its main or most significant meaning among possible alternatives.
-
C.
primarySense
Indicates that one sense or meaning of an entity is designated as its main or most central sense among possible alternatives.
-
D.
primaryFunctionHypothesis
Indicates a hypothesized main role or purpose that one entity is proposed to serve in relation to another or within a given system.
-
E.
primaryFor
Indicates that one entity serves as the main or principal option, resource, or association for another entity among possible alternatives.
- F. None of above.
Provenance (4 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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3a0947cd2481908eb95ec9f63427e0 |
completed | June 23, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:10 p.m.