Triple
T11526541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newton D. Baker |
E273309
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Diehl |
E536076
|
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: Diehl | Statement: [Newton D. Baker, middleName, Diehl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diehl Context triple: [Newton D. Baker, middleName, Diehl]
-
A.
Diehl
chosen
Diehl is the middle name of Newton D. Baker, an American lawyer and politician who served as U.S. Secretary of War during World War I.
-
B.
Diehl BGT Defence
Diehl BGT Defence is a German defense company specializing in advanced guided missile and air defense systems.
-
C.
Krauss-Maffei Wegmann
Krauss-Maffei Wegmann is a German defense company specializing in the design and production of armored vehicles and military land systems.
-
D.
Siemens-Schuckertwerke
Siemens-Schuckertwerke was a major German electrical engineering and manufacturing company that formed part of the Siemens group and played a key role in industrial and urban development in early 20th-century Germany.
-
E.
Henschel & Sohn
Henschel & Sohn was a German engineering and manufacturing company best known for producing heavy military vehicles, including tanks, during World War II.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fd379648190b342e0c4b4f685b7 |
completed | April 10, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6256e3130819095a93c8d1891b078 |
completed | April 20, 2026, 1:09 p.m. |
Created at: April 8, 2026, 9:37 p.m.