Triple
T21581347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Student Dust Counter |
E532530
|
entity |
| Predicate | VenetiaBurney_role |
P144349
|
FINISHED |
| Object | person who named Pluto |
—
|
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: person who named Pluto | Statement: [Student Dust Counter, VenetiaBurney_role, person who named Pluto]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: VenetiaBurney_role Context triple: [Student Dust Counter, VenetiaBurney_role, person who named Pluto]
-
A.
relationshipToFlorentinoAriza
Indicates the nature of the relationship an entity has with Florentino Ariza.
-
B.
relationshipWithEdmund
Indicates that there exists some form of relationship or connection involving the entity Edmund.
-
C.
ElizabethAction
Indicates that Elizabeth performs, initiates, or is responsible for a particular action or activity in relation to other entities.
-
D.
roleForVarys
Indicates that a particular role, position, or function is assigned to or associated with Varys.
-
E.
relationshipToBianca
Indicates the specific type of personal or social relationship that one entity has with Bianca.
- 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_69e0c4618bec8190bcb0feb74568cbb1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeeb5c496c819093113dd5790fca48 |
completed | April 27, 2026, 4:51 a.m. |
| PD | Predicate disambiguation | batch_69e6320c8c2c81908bf031447d66a052 |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e633bf34c481909925d8dc1a633a65 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 16, 2026, 6:31 p.m.