Triple
T38355952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Bauers |
E1046327
|
entity |
| Predicate | stateDuringExperiment |
P89818
|
FINISHED |
| Object | hibernation |
—
|
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: hibernation | Statement: [Joe Bauers, stateDuringExperiment, hibernation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateDuringExperiment Context triple: [Joe Bauers, stateDuringExperiment, hibernation]
-
A.
statusInExperiment
chosen
Indicates the current condition or phase an entity holds within a specific experiment or experimental process.
-
B.
ageStatusDuringExperiment
Indicates the age-related status or category an entity had at the time the experiment was conducted.
-
C.
experimentedOn
Indicates that one entity conducted experiments or tests on another entity as the subject of investigation.
-
D.
experimentName
Indicates the designated name or label assigned to a specific experiment within a broader context or system.
-
E.
scriptExperimentStatus
Indicates the current state or outcome of an experiment associated with a script, such as whether it is pending, running, completed, or failed.
- 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_69f76e3a94fc81908edc175e8d259e80 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff289541e0819096eeceb8e6332650 |
completed | May 9, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69ff281ab1988190920f0443be9f10cc |
completed | May 9, 2026, 12:27 p.m. |
Created at: May 3, 2026, 4:31 p.m.