Triple
T33727482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Great Danton |
E864182
|
entity |
| Predicate | technologyCreator |
P154768
|
FINISHED |
| Object | Nikola Tesla |
—
|
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: Nikola Tesla | Statement: [The Great Danton, technologyCreator, Nikola Tesla]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: technologyCreator Context triple: [The Great Danton, technologyCreator, Nikola Tesla]
-
A.
wasInventedBy
Indicates that something (typically an object, concept, or process) was created or brought into existence by a particular inventor or originator.
-
B.
notableInventor
Indicates that the subject is a well-known or historically significant inventor of the object.
-
C.
hasInventorRoleOf
chosen
Indicates that an entity holds or fulfills the role of inventor with respect to another entity (such as an invention, patent, or creative work).
-
D.
eponymousFounderOf
Indicates that a person is the namesake founder after whom an organization, place, or entity is named.
-
E.
designedByCompanyFoundedBy
Indicates that something was designed by a company that was founded by a specified 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_69f3498a64cc8190b4b414c67b280d93 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb1b91bc8190a40733039fe939b3 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:44 a.m.