Triple
T12927472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Gediman |
E309280
|
entity |
| Predicate | conductsExperimentsOn |
P31889
|
FINISHED |
| Object | xenomorphs |
—
|
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: xenomorphs | Statement: [Dr. Gediman, conductsExperimentsOn, xenomorphs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conductsExperimentsOn Context triple: [Dr. Gediman, conductsExperimentsOn, xenomorphs]
-
A.
experimentedOn
chosen
Indicates that one entity conducted experiments or tests on another entity as the subject of investigation.
-
B.
medicalExperimentsConductedBy
Indicates that medical experiments are performed, overseen, or carried out by a specified agent or organization.
-
C.
conductsResearchAt
Indicates that a subject carries out research activities at a specified institution, organization, or location.
-
D.
carriedExperiment
Indicates that an entity performed, conducted, or executed a particular experiment.
-
E.
numberOfExperiments
Indicates the total count of experiments associated with or performed in a given context or entity.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971ec72a48190aceef10630603d2c |
completed | April 10, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69d96fab4d0881909a7a4d66bab9aa85 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:42 p.m.