Triple
T26341854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irene Cassini |
E662666
|
entity |
| Predicate | hasRelationshipToGenetics |
P194893
|
FINISHED |
| Object | genetically engineered |
—
|
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: genetically engineered | Statement: [Irene Cassini, hasRelationshipToGenetics, genetically engineered]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRelationshipToGenetics Context triple: [Irene Cassini, hasRelationshipToGenetics, genetically engineered]
-
A.
hasGeneticAffiliation
Indicates that one entity is genetically related or affiliated with another, such as sharing ancestry, lineage, or genetic characteristics.
-
B.
hasGeneticComponent
Indicates that the associated condition, trait, or phenomenon is influenced or determined in part by genetic factors.
-
C.
geneticRelation
Indicates that two entities are connected through a hereditary or familial genetic relationship.
-
D.
hasGeneticEvidence
Indicates that there is genetic data or analysis supporting the existence, validity, or nature of the specified relationship or association between entities.
-
E.
proposesGeneticRelationshipBetween
Indicates that one entity puts forward or suggests the existence of a genetic relationship between two or more entities.
- 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_69ee81304194819092e20e0fae3aee07 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69fd8e5f7c4c8190ab8e2f2a7bb1bd79 |
completed | May 8, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69fd8d8a16f08190b9e880901bfa44fe |
completed | May 8, 2026, 7:15 a.m. |
| PDg | Predicate description generation | batch_69fd8e5e9ca48190890a2caddc1f9f5c |
completed | May 8, 2026, 7:18 a.m. |
Created at: April 26, 2026, 10:39 p.m.