Triple
T22463122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schneider Electric SE |
E555279
|
entity |
| Predicate | hasCEO |
P2568
|
FINISHED |
| Object | Peter Herweck |
—
|
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: Peter Herweck | Statement: [Schneider Electric SE, hasCEO, Peter Herweck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Herweck Context triple: [Schneider Electric SE, hasCEO, Peter Herweck]
-
A.
Peter Herweck
chosen
Peter Herweck is a German business executive and engineer known for leading global industrial and automation companies, including serving as CEO of Schneider Electric.
-
B.
Phil Fehrle
Phil Fehrle is a film producer best known for his work on the family fantasy movie "Thomas and the Magic Railroad."
-
C.
Phil Wandscher
Phil Wandscher is an American guitarist best known as a founding member and lead guitarist of the alt-country band Whiskeytown.
-
D.
Joseph Weishaar
Joseph Weishaar is an American architect and designer best known for winning the competition to create the National World War I Memorial in Washington, D.C.
-
E.
Michael Karpf
Michael Karpf is a British physician and academic leader best known for his roles in hospital administration and medical education.
- 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b819d24819084e9b1a7c596345a |
completed | April 29, 2026, 1:14 a.m. |
Created at: April 16, 2026, 8:48 p.m.