Triple
T6511548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joachim Peiper |
E150145
|
entity |
| Predicate | sentenceLaterReducedTo |
P71297
|
FINISHED |
| Object | time served |
—
|
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: time served | Statement: [Joachim Peiper, sentenceLaterReducedTo, time served]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sentenceLaterReducedTo Context triple: [Joachim Peiper, sentenceLaterReducedTo, time served]
-
A.
sentenceReducedTo
Indicates that one sentence is a simplified, shortened, or compressed form derived from another sentence.
-
B.
sentenceReduction
Indicates that a longer or more complex sentence has been shortened or simplified while preserving its essential meaning.
-
C.
sentenceOf
Indicates that one entity is a sentence that belongs to, is contained in, or is part of another larger text or document.
-
D.
sentence
Indicates that one entity is a sentence that expresses, contains, or encodes information about another entity.
-
E.
reduces
Indicates that one entity causes a decrease in the amount, intensity, degree, or impact of another entity.
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f3ad7d081909162f1a625fc52b1 |
completed | March 27, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69c68ab98c78819081743e614df04e1d |
completed | March 27, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69c69f362ee4819090e8fa48caef7d7d |
completed | March 27, 2026, 3:16 p.m. |
Created at: March 27, 2026, 1:43 p.m.