Triple
T20958968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lentulus Batiatus |
E516184
|
entity |
| Predicate | relationshipToVarinia |
P141853
|
FINISHED |
| Object | owner of Varinia |
—
|
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: owner of Varinia | Statement: [Lentulus Batiatus, relationshipToVarinia, owner of Varinia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToVarinia Context triple: [Lentulus Batiatus, relationshipToVarinia, owner of Varinia]
-
A.
relationshipToPavelVlasov
Indicates the nature or type of relationship an entity has with Pavel Vlasov.
-
B.
relationshipToMoscow
Indicates the type or nature of a connection, association, or relevance that something has specifically to Moscow.
-
C.
relationshipToVanessa
Indicates the specific type of personal or social relationship that an entity has with Vanessa.
-
D.
relationshipToVrindavan
Indicates the nature or type of connection an entity has to Vrindavan, such as origin, association, or relevance.
-
E.
relationshipTypeWithVincent
Indicates the specific nature or category of relationship that an entity has with Vincent.
- 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_69e0b4fde6c48190af1398e7e734629e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb6d6cd48190b83d1ceb1d0f6670 |
completed | April 21, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_69e5c9b1bae48190a845165fed1b005e |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53d22d08190bc17ed4bed53804a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 1:29 p.m.