Triple
T35114336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phage (Star Trek: Voyager) |
E1013391
|
entity |
| Predicate | diseaseAffects |
P182569
|
FINISHED |
| Object | Vidiians |
—
|
NE NERFINISHED |
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: Vidiians | Statement: [Phage (Star Trek: Voyager), diseaseAffects, Vidiians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diseaseAffects Context triple: [Phage (Star Trek: Voyager), diseaseAffects, Vidiians]
-
A.
diseaseType
Indicates that one entity is classified as a specific type or category of disease in relation to another entity.
-
B.
affectsAnatomicalLocation
Indicates that one entity produces an effect on, or has an impact at, a specific anatomical location.
-
C.
causesDiseaseType
Indicates that one entity is responsible for causing a specific type or category of disease in another entity.
-
D.
hasAssociatedDisease
Indicates that an entity is linked to, or commonly occurs with, a particular disease or medical condition.
-
E.
diseaseDepicted
Indicates that a visual representation (such as an image or illustration) shows or portrays a particular disease.
- 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_69f76dd659d08190bcdc00d37caafb62 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7904a770481908ef3f788e51e8dba |
completed | May 3, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69f78f629d508190b755848162c4e101 |
completed | May 3, 2026, 6:09 p.m. |
Created at: May 3, 2026, 4:01 p.m.