Triple
T14848211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sebastian Flyte |
E349157
|
entity |
| Predicate | givenName |
P17
|
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: [Sebastian Flyte, givenName, Sebastian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sebastian Context triple: [Sebastian Flyte, givenName, 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 the red Jamaican-accented crab from Disney's "The Little Mermaid," known for serving as King Triton's advisor and for singing "Under the Sea."
-
C.
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.
-
D.
Sebastian James
Sebastian James is a British business executive best known for serving as the chief executive officer of Boots UK.
-
E.
Sebastian Rick
Sebastian Rick is a German local politician serving as the mayor of the town of Naunhof in Saxony.
- 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded29236dc8190b7d3a37d09f9fb21 |
completed | April 14, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6502d3f081909ff6fa8722769e2e |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:53 a.m.