Triple
T7832358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sebastian Junger |
E181603
|
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 Junger, givenName, Sebastian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sebastian Context triple: [Sebastian Junger, 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 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 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.
-
D.
Sebastian Blunt
Sebastian Blunt is a British actor and the brother of acclaimed actress Emily Blunt.
-
E.
Sebastian Henshaw
Sebastian Henshaw is a suave and skilled British intelligence agent who becomes entangled in a chaotic international espionage adventure in the action-comedy film "The Spy Who Dumped Me."
- 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_69ca8284a25c8190a1a20afad30da792 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb0648bb308190a34fbcd81ff6fda2 |
completed | March 30, 2026, 11:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5a906b908190a204779950555edc |
completed | March 31, 2026, 5:24 a.m. |
Created at: March 30, 2026, 4:45 p.m.