Triple
T871191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sebastian Thrun |
E18816
|
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 Thrun, givenName, Sebastian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sebastian Context triple: [Sebastian Thrun, 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 Blunt
Sebastian Blunt is a British actor and the brother of acclaimed actress Emily Blunt.
-
C.
Bastian
Bastian is a surname most prominently associated with Ed Bastian, the CEO of Delta Air Lines.
-
D.
Diego
Diego is a given name of Spanish origin commonly used in Spanish-speaking countries and beyond.
-
E.
Carlo
Carlo is the Italian form of the given name Charles, commonly used in Italy and other Italian-speaking communities.
- 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac94d5ac81909feee876696da589 |
completed | March 1, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7a3cb9a648190981182add42325f3 |
completed | March 4, 2026, 3:15 a.m. |
Created at: March 1, 2026, 7:39 p.m.