Triple
T26032779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second International Marxism |
E647477
|
entity |
| Predicate | hasInternalTendency |
P19224
|
FINISHED |
| Object | orthodox Marxism |
—
|
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: orthodox Marxism | Statement: [Second International Marxism, hasInternalTendency, orthodox Marxism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInternalTendency Context triple: [Second International Marxism, hasInternalTendency, orthodox Marxism]
-
A.
hasTendency
chosen
Indicates that an entity is inclined or likely to exhibit a particular behavior, characteristic, or outcome under certain conditions.
-
B.
hasInternal
Indicates that one entity contains another entity within its internal structure or boundaries.
-
C.
hasRadialTrendToward
Indicates a relationship in which something exhibits a pattern, orientation, or change that progresses inward toward a central point or axis.
-
D.
hasTrend
Indicates that something exhibits or is associated with a particular pattern of change or direction over time.
-
E.
tends
Indicates that one entity regularly or characteristically behaves in a certain way or moves toward a particular state or outcome in relation to another.
- 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_69e77e8b60e88190a3b26c4f0032a2c2 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
Created at: April 22, 2026, 9:06 a.m.