Triple
T3738283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcus Wallenberg |
E79637
|
entity |
| Predicate | hasNotableFamilyRole |
P27764
|
FINISHED |
| Object | leading figure in Wallenberg family enterprises |
—
|
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: leading figure in Wallenberg family enterprises | Statement: [Marcus Wallenberg, hasNotableFamilyRole, leading figure in Wallenberg family enterprises]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableFamilyRole Context triple: [Marcus Wallenberg, hasNotableFamilyRole, leading figure in Wallenberg family enterprises]
-
A.
hasFamilyRole
Indicates that one entity holds a specific familial role or position in relation to another entity.
-
B.
hasNotableRoleIn
chosen
Indicates that an entity holds a significant or noteworthy role or function within another entity, event, work, or context.
-
C.
hasFamilyHead
Indicates that one entity serves as the primary head or leader of another entity’s family unit.
-
D.
hasNotableDaughter
Indicates that an entity has at least one daughter who is notable or significant in some recognized way.
-
E.
hasFamilialTieTo
Indicates a relationship where two entities are connected by family bonds, such as by blood, marriage, or adoption.
- 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb3e9248819098d481fe29e1c628 |
completed | March 8, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69adc048f28c819092bed16a95a3cac1 |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:34 p.m.