Triple
T11696104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forbes |
E277997
|
entity |
| Predicate | hasFounder |
P104
|
FINISHED |
| Object | Walter Drey |
E277997
|
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: Walter Drey | Statement: [Forbes, hasFounder, Walter Drey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walter Drey Context triple: [Forbes, hasFounder, Walter Drey]
-
A.
Walter Drey
chosen
Walter Drey was an American businessman best known as a co-founder of Forbes, the influential business and finance magazine.
-
B.
Walter Darre
Walter Darré was a leading Nazi official and ideologue of "blood and soil" agrarianism who served as Reich Minister of Food and Agriculture and was later tried as a war criminal after World War II.
-
C.
Walter Frye
Walter Frye was a 15th-century English composer known for his influential sacred vocal music, particularly masses and motets, during the early Renaissance.
-
D.
Walter Fries
Walter Fries was a German Wehrmacht general during World War II who commanded armored and infantry units on multiple fronts, including in the Mediterranean theater.
-
E.
Walter Eckland
Walter Eckland is the gruff, reluctant hero and boozy beachcomber-turned-lookout portrayed by Cary Grant in the World War II comedy film "Father Goose."
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a47cef60819088b7cc3a3a711e4c |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48a027dec8190aea103f0974186b0 |
completed | May 1, 2026, 11:09 a.m. |
Created at: April 8, 2026, 9:40 p.m.