Triple
T26011379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlos Lehder |
E646908
|
entity |
| Predicate | sentenceReduced |
P71297
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Carlos Lehder, sentenceReduced, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sentenceReduced Context triple: [Carlos Lehder, sentenceReduced, true]
-
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.
sentenceLaterReducedTo
chosen
Indicates that a previously imposed sentence was subsequently reduced to a lesser sentence at a later time.
-
D.
reduces
Indicates that one entity causes a decrease in the amount, intensity, degree, or impact of another entity.
-
E.
sentence
Indicates that one entity is a sentence that expresses, contains, or encodes information about another entity.
- 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_69e77e89d5848190b54352cdb74f6029 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f605b5f34c8190880875cdd32ab051 |
completed | May 2, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69f4a10728e08190bc0b96c558740f51 |
completed | May 1, 2026, 12:48 p.m. |
Created at: April 22, 2026, 9:01 a.m.