Triple
T1763298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Dern |
E38705
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | George Dern |
E178116
|
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: George Dern | Statement: [Laura Dern, relative, George Dern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Dern Context triple: [Laura Dern, relative, George Dern]
-
A.
George Dern
chosen
George Dern was an American politician who served as governor of Utah and later as U.S. Secretary of War under President Franklin D. Roosevelt.
-
B.
Douglas Kirk
Douglas Kirk is an individual notable enough to be recognized as a prominent bearer of the surname Kirk.
-
C.
David Scearce
David Scearce is a Canadian screenwriter best known for adapting Christopher Isherwood’s novel into the acclaimed film "A Single Man."
-
D.
William Nolan
William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
-
E.
Dan Jewett
Dan Jewett is an American science teacher known for his brief marriage to billionaire philanthropist and novelist MacKenzie Scott.
- 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa6465245c8190b1ee84628c62c529 |
completed | March 6, 2026, 5:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae030371e88190982c822a460d3e47 |
completed | March 8, 2026, 11:15 p.m. |
Created at: March 4, 2026, 7:31 p.m.