Triple
T24544046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patricia Nombuyiselo Noah |
E607170
|
entity |
| Predicate | economicStatusDuringTrevorChildhood |
P2987
|
FINISHED |
| Object | working 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: working class | Statement: [Patricia Nombuyiselo Noah, economicStatusDuringTrevorChildhood, working class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: economicStatusDuringTrevorChildhood Context triple: [Patricia Nombuyiselo Noah, economicStatusDuringTrevorChildhood, working class]
-
A.
sonRaisedIn
Indicates that a son spent his childhood or formative years being brought up in a particular place or environment.
-
B.
spentChildhoodIn
Indicates that a person or entity spent the majority or formative years of their childhood in a particular place or location.
-
C.
economicStatus
chosen
Indicates the financial or socioeconomic condition or standing of an entity relative to others or to defined economic criteria.
-
D.
placeOfUpbringing
Indicates the location where an individual was raised or spent most of their formative years.
-
E.
hadSocialStratumBelow
Indicates that one entity occupied a lower social stratum or class relative to 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_69e2c4c9bf94819082d05da6f5c29907 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:26 a.m.