Triple
T6934288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luria–Delbrück experiment |
E160513
|
entity |
| Predicate | usedControl |
P74364
|
FINISHED |
| Object | multiple independent bacterial cultures |
—
|
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: multiple independent bacterial cultures | Statement: [Luria–Delbrück experiment, usedControl, multiple independent bacterial cultures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedControl Context triple: [Luria–Delbrück experiment, usedControl, multiple independent bacterial cultures]
-
A.
usedToControl
Indicates that one entity employed another as a means or tool to exercise control or regulation over something.
-
B.
exportControl
Indicates that an entity is subject to rules or restrictions governing the transfer or export of goods, services, or information across borders.
-
C.
usesController
Indicates that one entity operates, manages, or interacts with another entity through a controller component or mechanism.
-
D.
canControl
Indicates that one entity has the ability or authority to direct, manage, or influence the behavior or state of another entity.
-
E.
controlFrom
Indicates that one entity exercises authority, influence, or regulatory power over another entity or process.
- F. None of above. chosen
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_69c6884e15208190b9e91487eaafcf85 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e0c74fe48190aeaa018631e52ef6 |
completed | March 27, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bd5a388190a57a96d925696ff6 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6e0c620f0819080e0ec49b36d4c30 |
completed | March 27, 2026, 7:55 p.m. |
Created at: March 27, 2026, 2:27 p.m.