Triple
T35181338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlotte von Mahlsdorf in I Am My Own Wife |
E1015857
|
entity |
| Predicate | lifeStoryIncludes |
P4083
|
FINISHED |
| Object | survival under Nazi regime |
—
|
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: survival under Nazi regime | Statement: [Charlotte von Mahlsdorf in I Am My Own Wife, lifeStoryIncludes, survival under Nazi regime]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lifeStoryIncludes Context triple: [Charlotte von Mahlsdorf in I Am My Own Wife, lifeStoryIncludes, survival under Nazi regime]
-
A.
originStoryIncludes
Indicates that an entity’s origin story contains, involves, or features the referenced element as a component or part of that backstory.
-
B.
storyBy
Indicates that one entity is the creator or author of the story associated with another entity.
-
C.
storylinesInclude
Indicates that certain storylines are contained within, or form part of, a larger narrative or collection of narratives.
-
D.
coreNarrative
Indicates the primary storyline or central sequence of events that forms the main thread of a narrative.
-
E.
lifeDetails
chosen
Indicates that additional information or specific aspects about an entity’s life (such as background, experiences, or personal history) are being described.
- 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_69f76ddcc108819097f96853b7ed9ef4 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78d7b32f88190a5811a1ad85a90a2 |
completed | May 3, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69f78b9106008190930b3b3675b737d6 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:02 p.m.