Triple
T19284656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humphrey Van Weyden |
E482278
|
entity |
| Predicate | initialSocialStatus |
P96607
|
FINISHED |
| Object | upper-middle-class |
—
|
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: upper-middle-class | Statement: [Humphrey Van Weyden, initialSocialStatus, upper-middle-class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialSocialStatus Context triple: [Humphrey Van Weyden, initialSocialStatus, upper-middle-class]
-
A.
subjectSocialStatus
Indicates the social standing or rank that the subject holds within a society or group.
-
B.
initialStatus
Indicates the original or starting state assigned to an entity before any changes or updates occur.
-
C.
possibleSocialStatus
Indicates that one entity may hold, attain, or be associated with a particular social status in relation to another context or system.
-
D.
inUniverseSocialStatus
Indicates the social rank or standing an entity holds within a specific fictional or defined universe.
-
E.
socialClassAtStart
chosen
Indicates the social class or socioeconomic status an entity belongs to at the beginning of a specified period, event, or process.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc0152d48190b92272d4c7caa708 |
completed | April 20, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0bc7508190a6f9d56bd4c3404f |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:30 p.m.