Triple
T2817238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ermen & Engels |
E54316
|
entity |
| Predicate | gaveFirsthandExperienceOf |
P43496
|
FINISHED |
| Object | industrial capitalism |
—
|
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: industrial capitalism | Statement: [Ermen & Engels, gaveFirsthandExperienceOf, industrial capitalism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gaveFirsthandExperienceOf Context triple: [Ermen & Engels, gaveFirsthandExperienceOf, industrial capitalism]
-
A.
experiences
Indicates that an entity undergoes, feels, or is affected by a particular event, state, or condition.
-
B.
hasTypeOfVisitorExperience
Indicates that an entity is associated with a particular category or kind of visitor experience it provides or involves.
-
C.
wereInternedBy
Indicates that an entity was forcibly confined, detained, or held in an internment facility by another entity (typically an authority or government).
-
D.
primaryExperience
Indicates that one entity is the main or most significant experience associated with another entity, as opposed to secondary or supporting experiences.
-
E.
introducedTo
Indicates that one entity caused or facilitated a first meeting or formal presentation between another entity and a third party.
- 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_69ab49de0af08190b3da69683be1e728 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abdf15b7288190a03d1193cc0544a6 |
completed | March 7, 2026, 8:17 a.m. |
| PD | Predicate disambiguation | batch_69abdd08f2f481908c3da8a9c7a00552 |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abdf13d2b8819097b8edaaea90dbe2 |
completed | March 7, 2026, 8:17 a.m. |
Created at: March 6, 2026, 9:59 p.m.