Triple
T8520828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wesley A. Clark |
E201688
|
entity |
| Predicate | coDesignedWith |
P30900
|
FINISHED |
| Object | Charles Molnar |
E748086
|
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: Charles Molnar | Statement: [Wesley A. Clark, coDesignedWith, Charles Molnar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Molnar Context triple: [Wesley A. Clark, coDesignedWith, Charles Molnar]
-
A.
Charles Molnar
chosen
Charles Molnar was an American computer engineer best known as the co-designer of the LINC, one of the earliest minicomputers and a pioneering machine in interactive computing.
-
B.
Charles Bergstresser
Charles Bergstresser was an American journalist and financier best known as one of the co-founders of The Wall Street Journal.
-
C.
Ralph Koltai
Ralph Koltai was a prominent British theatre designer renowned for his innovative, sculptural stage sets that transformed post-war European theatre aesthetics.
-
D.
Laszlo Molnar
Laszlo Molnar is a software developer and author known for creating the UPX (Ultimate Packer for Executables) executable compression tool.
-
E.
George Katona
George Katona was a Hungarian-American psychologist and economist known as a pioneer of behavioral economics and consumer sentiment research.
- 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_69ca8321bb44819081b74df0b710276d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe628f8c48190a35201f9fde605cc |
completed | March 31, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecc53555c8190b910b3220bd701b4 |
completed | April 2, 2026, 8:06 p.m. |
Created at: March 30, 2026, 6:16 p.m.