Triple
T37899220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sándor Barinkay |
E945361
|
entity |
| Predicate | socialStatusInPlot |
P62272
|
FINISHED |
| Object | impoverished nobleman |
—
|
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: impoverished nobleman | Statement: [Sándor Barinkay, socialStatusInPlot, impoverished nobleman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialStatusInPlot Context triple: [Sándor Barinkay, socialStatusInPlot, impoverished nobleman]
-
A.
socialStatusOrigin
Indicates the source or basis from which an entity’s social status is derived or determined.
-
B.
relationshipStatusInStory
Indicates the type or state of the relationship between entities as it exists within the context of a specific story or narrative.
-
C.
subjectSocialStatus
chosen
Indicates the social standing or rank that the subject holds within a society or group.
-
D.
statusInCommunity
Indicates the social standing, role, or level of acceptance an entity holds within a particular community.
-
E.
socialComposition
Indicates the makeup or distribution of different social groups or categories within a population or community.
- 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_69f76ef0e8708190987c7254ed8c7abe |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
Created at: May 3, 2026, 4:19 p.m.