Triple
T20693386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheap Imitation |
E508605
|
entity |
| Predicate | usesCompositionalMethod |
P87465
|
FINISHED |
| Object | chance operations |
—
|
LITERAL 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: chance operations | Statement: [Cheap Imitation, usesCompositionalMethod, chance operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCompositionalMethod Context triple: [Cheap Imitation, usesCompositionalMethod, chance operations]
-
A.
usesComputationMethod
Indicates that an entity performs its processing or decision-making by applying a specified computational method or algorithm.
-
B.
compositionalApproach
Indicates an approach where something is constructed, analyzed, or understood as a combination of smaller constituent parts and their arrangement.
-
C.
usesCompositionalDevice
chosen
Indicates that an entity employs a specific compositional technique or device in creating or structuring something.
-
D.
compositionalFeature
Indicates that one entity is a structural or constituent feature that forms part of the composition or makeup of another entity.
-
E.
isComposedIn
Indicates that something is created, written, or formed within a particular context, medium, or framework.
- F. None of above.
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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c10fc4088190ab71ef078600954b |
completed | April 21, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69e5c044d1108190b2b5d25de23f6401 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:09 p.m.