Triple
T7534654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Dern |
E178116
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Dern |
E82079
|
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: Dern | Statement: [George Dern, familyName, Dern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dern Context triple: [George Dern, familyName, Dern]
-
A.
Dern
chosen
Dern is a surname most prominently associated with American actor Bruce Dern and his family of performers.
-
B.
Derr
Derr is an ancient Egyptian site in Lower Nubia known for its rock-cut temple built by Pharaoh Ramesses II.
-
C.
Der
Der was an ancient Mesopotamian city known as an important religious center associated with the worship of the god Anu.
-
D.
Den
Den was a prominent pharaoh of Egypt’s First Dynasty, known for early administrative innovations and military campaigns that helped consolidate the young Egyptian state.
-
E.
Den
Den is a Japanese surname borne by various notable figures in politics, industry, and the arts.
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f84a9d28819084ebfc44fcb2c29c |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f0765b48190b8df68f22c8901f4 |
completed | March 28, 2026, 9:58 p.m. |
Created at: March 27, 2026, 3:47 p.m.