Triple
T707139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schutzstaffel |
E14124
|
entity |
| Predicate | grewFrom |
P1257
|
FINISHED |
| Object | Hitler’s personal bodyguard unit |
—
|
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: Hitler’s personal bodyguard unit | Statement: [Schutzstaffel, grewFrom, Hitler’s personal bodyguard unit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grewFrom Context triple: [Schutzstaffel, grewFrom, Hitler’s personal bodyguard unit]
-
A.
growthForm
Indicates the physical structure or habit in which something develops or grows (such as its overall shape, form, or growth pattern).
-
B.
emergedFrom
chosen
Indicates that one entity originated, arose, or came forth from another entity or source.
-
C.
prosperedFrom
Indicates that one entity gained benefit, success, or advantage as a result of another entity, event, or circumstance.
-
D.
developedFrom
Indicates that one entity originates, evolves, or is derived from another as its source or precursor.
-
E.
growsIn
Indicates that one entity develops, thrives, or increases in size or number within a specified environment, medium, or location.
- 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_69a493494ec48190ae6751683625a9ba |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5c011948190b2cfccd8fe722742 |
completed | March 1, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f0217081908268b3f47e72f8df |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:36 p.m.