Triple
T21134886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur Goldman |
E520790
|
entity |
| Predicate | backgroundInStory |
P23245
|
FINISHED |
| Object | wealthy Jewish industrialist (apparent) |
—
|
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: wealthy Jewish industrialist (apparent) | Statement: [Arthur Goldman, backgroundInStory, wealthy Jewish industrialist (apparent)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: backgroundInStory Context triple: [Arthur Goldman, backgroundInStory, wealthy Jewish industrialist (apparent)]
-
A.
socialBackground
chosen
Indicates a relationship where one entity’s social origin, class, or upbringing context is associated with or characterizes another entity.
-
B.
typicalBackground
Indicates that an entity has a usual or commonly expected background, context, or setting associated with it.
-
C.
backgroundComposition
Indicates that one entity serves as the background or surrounding setting in which another entity is visually or contextually composed.
-
D.
backgroundEmission
Indicates that an entity emits or contributes to a diffuse, non-localized background level of radiation, light, or other signal.
-
E.
primaryBackdropFor
Indicates that one entity serves as the main visual or contextual background element for 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_69e0b50b53048190ae34e8abbe3c5ada |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e723592fd48190ba5977a1b229d51e |
completed | April 21, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69e5f5ed6c8c8190b31092a5d4c3de5d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 2:56 p.m.