Triple
T3804698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diane Elizabeth Dern |
E91776
|
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: [Diane Elizabeth Dern, familyName, Dern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dern Context triple: [Diane Elizabeth Dern, familyName, Dern]
-
A.
Dern
chosen
Dern is a surname most prominently associated with American actor Bruce Dern and his family of performers.
-
B.
Der
Der was an ancient Mesopotamian city known as an important religious center associated with the worship of the god Anu.
-
C.
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.
-
D.
Den
Den is a Japanese surname borne by various notable figures in politics, industry, and the arts.
-
E.
Dal
Dal is the commonly used short form for Dalhousie University, a major public research university in Halifax, Nova Scotia, Canada.
- 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_69aed96354f48190a768966d6bd19b04 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee7bc240881909e91b7b99403a13c |
completed | March 9, 2026, 3:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb2a5af481908d69e1a88eb80d84 |
completed | March 14, 2026, 6:07 a.m. |
Created at: March 9, 2026, 3:15 p.m.