Triple
T11796113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sebastiano |
E280509
|
entity |
| Predicate | derivedFrom |
P909
|
FINISHED |
| Object | Sebastian |
E57255
|
NE 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: Sebastian | Statement: [Sebastiano, derivedFrom, Sebastian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sebastian Context triple: [Sebastiano, derivedFrom, Sebastian]
-
A.
Sebastian
chosen
Sebastian is a masculine given name of Latin origin, commonly used in many European and English-speaking countries.
-
B.
Sebastian
Sebastian is a small coastal city in eastern Florida known for its riverfront location, access to the Indian River Lagoon, and proximity to the Sebastian Inlet and Atlantic beaches.
-
C.
Sebastian Rick
Sebastian Rick is a German local politician serving as the mayor of the town of Naunhof in Saxony.
-
D.
Sebastian Graves
Sebastian Graves is a highly skilled but uptight British MI6 agent whose life is upended when he is reunited with his crude, long-lost brother in the action-comedy film "The Brothers Grimsby."
-
E.
Sebastian Clement
Sebastian Clement is a fictional character from Willa Cather’s novel "Lucy Gayheart," serving as a central figure in the protagonist’s emotional and artistic life.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a1cda0819092d66a82fd882786 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f280fe1b2881908c32b920cdaf04df |
completed | April 29, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:42 p.m.