Triple
T10882866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goebbels children |
E256968
|
entity |
| Predicate | householdRoleOfMother |
P96220
|
FINISHED |
| Object | Prominent Nazi figure and supporter 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: Prominent Nazi figure and supporter of Adolf Hitler | Statement: [Goebbels children, householdRoleOfMother, Prominent Nazi figure and supporter of Adolf Hitler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: householdRoleOfMother Context triple: [Goebbels children, householdRoleOfMother, Prominent Nazi figure and supporter of Adolf Hitler]
-
A.
motherOccupation
Indicates the type of job or profession that a person's mother has.
-
B.
spouseMother
Indicates that one person is the mother of another person’s spouse.
-
C.
motherStatus
Indicates the current condition, role, or state of an entity in relation to being a mother (e.g., whether and how they are functioning or recognized as a mother).
-
D.
motherIs
Indicates that one entity is the mother (biological or adoptive) of another entity.
-
E.
spouseOccupation
Indicates that one person’s spouse has a particular job, profession, or occupation.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751db24208190b3a7ed7eea118522 |
completed | April 9, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69d70d360c388190a3d829fe8862434f |
completed | April 9, 2026, 2:21 a.m. |
| PDg | Predicate description generation | batch_69d7101de31c819090707635f6790559 |
completed | April 9, 2026, 2:34 a.m. |
Created at: April 8, 2026, 9:21 p.m.