Triple
T9748181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nathan Rosen |
E236369
|
entity |
| Predicate | doctoralAdvisor |
P167
|
FINISHED |
| Object | Carl Eckart |
E362435
|
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: Carl Eckart | Statement: [Nathan Rosen, doctoralAdvisor, Carl Eckart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carl Eckart Context triple: [Nathan Rosen, doctoralAdvisor, Carl Eckart]
-
A.
Carl Eckart
chosen
Carl Eckart was an American physicist and applied mathematician known for his contributions to quantum mechanics, fluid dynamics, and the development of the Wigner–Eckart theorem.
-
B.
Carl Spitz
Carl Spitz was a renowned German-American dog trainer best known for training Toto in the classic film "The Wizard of Oz."
-
C.
Carl Segaud
Carl Segaud is a French local politician who serves as the mayor of the Parisian suburb Châtenay-Malabry.
-
D.
Karl Schaefer
Karl Schaefer is a television writer and producer best known for co-creating the zombie apocalypse series Z Nation and its Netflix prequel Black Summer.
-
E.
Joseph Kaufmann
Joseph Kaufmann was a mountaineer known for making the first recorded ascent of Mount Columbia in the Canadian Rockies.
- 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_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f68f8b88190b44babf5ae17dfef |
completed | April 1, 2026, 10:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bcd2e08c8190808b58fdabe0c9d3 |
completed | April 5, 2026, 1:37 a.m. |
Created at: March 30, 2026, 8:23 p.m.