Triple
T32305293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gespräche mit Hitler |
E825346
|
entity |
| Predicate | claimsToContain |
P182428
|
FINISHED |
| Object | direct quotations of Adolf Hitler |
—
|
LITERAL 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: direct quotations of Adolf Hitler | Statement: [Gespräche mit Hitler, claimsToContain, direct quotations of Adolf Hitler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: claimsToContain Context triple: [Gespräche mit Hitler, claimsToContain, direct quotations of Adolf Hitler]
-
A.
claimsToBe
Indicates that one entity asserts or declares itself to have a particular identity, role, or property, regardless of whether this assertion is true.
-
B.
claimsToMark
Indicates that one entity asserts or alleges that it has marked, labeled, or designated another entity in some specified way.
-
C.
claimsToFollow
Indicates that one entity asserts or professes adherence to the principles, rules, or leadership of another entity.
-
D.
claimsToDescribe
Indicates that one entity asserts that it provides an accurate or valid description of another entity or concept.
-
E.
hasClaimOn
Indicates that one entity holds a right, entitlement, or demand over another entity or its resources.
- F. None of above. chosen
Provenance (4 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_69f349115304819084ee91d345b6c8aa |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f78d7211a48190bfb59c406f0bf12f |
completed | May 3, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
| PDg | Predicate description generation | batch_69f78c6014e08190864785a4fe3e8e73 |
completed | May 3, 2026, 5:56 p.m. |
Created at: May 1, 2026, 12:45 a.m.