Triple
T18044133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eugene Fama |
E431727
|
entity |
| Predicate | hasStudent |
P48
|
FINISHED |
| Object | Kenneth French |
—
|
NE NERFINISHED |
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: Kenneth French | Statement: [Eugene Fama, hasStudent, Kenneth French]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenneth French Context triple: [Eugene Fama, hasStudent, Kenneth French]
-
A.
Kenneth R. French
chosen
Kenneth R. French is an influential American financial economist best known for his work on asset pricing and portfolio theory, including the Fama–French three-factor model.
-
B.
Eugene Fama
Eugene Fama is an American economist renowned as a leading figure in the Chicago School and a pioneer of modern finance, particularly for his work on efficient markets and asset pricing.
-
C.
William Bernstein
William Bernstein is an American film producer best known as a co-founder of the independent film studio Orion Pictures.
-
D.
Peter L. Bernstein
Peter L. Bernstein was an American financial historian, economist, and author best known for his influential book "Against the Gods: The Remarkable Story of Risk."
-
E.
David Meriwether
David Meriwether was an American politician and statesman from Georgia who served in the U.S. Congress in the early 19th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4bff13f488190993445769551c9c2 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 10:25 a.m.