Triple
T28441505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margarethe Krupp |
E715722
|
entity |
| Predicate | affiliated with |
P86004
|
FINISHED |
| Object | Friedrich Krupp AG |
—
|
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: Friedrich Krupp AG | Statement: [Margarethe Krupp, affiliated with, Friedrich Krupp AG]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affiliated with Context triple: [Margarethe Krupp, affiliated with, Friedrich Krupp AG]
-
A.
isAssociatedWith
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
-
B.
partnerAffiliation
Indicates that two entities are formally associated as partners within an organization, project, or collaborative relationship.
-
C.
annexedBy
Indicates that one entity has been incorporated into and brought under the control or sovereignty of another entity.
-
D.
holderAffiliation
chosen
Indicates that a holder (such as a person or organization) is affiliated with, or belongs to, a particular group, institution, or entity.
-
E.
possibleAffiliation
Indicates that there is a potential or uncertain organizational, group, or institutional association between the entities, but the affiliation is not confirmed.
- F. None of above.
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_69efd6b44550819094ae991b553d9fc3 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f64e3da3908190a38f80a9fe4cadba |
completed | May 2, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 1:46 a.m.