Triple
T38653984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl of Bedford |
E939837
|
entity |
| Predicate | holderFamilyWealthSource |
P8003
|
FINISHED |
| Object | landed estates |
—
|
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: landed estates | Statement: [Earl of Bedford, holderFamilyWealthSource, landed estates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: holderFamilyWealthSource Context triple: [Earl of Bedford, holderFamilyWealthSource, landed estates]
-
A.
hasWealthSource
Indicates that an entity derives its wealth or financial resources from a specified source.
-
B.
nameBearerWealthSource
Indicates that the bearer of a particular name derives or is associated with a specific source of wealth.
-
C.
wealthSource
chosen
Indicates the relationship by which an entity obtains or derives its wealth from a particular source.
-
D.
spouseWealthStatus
Indicates the financial status or wealth level of a person’s spouse in relation to that person.
-
E.
ownerFamily
Indicates that a family has ownership or proprietary rights over a particular entity or resource.
- 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_69f76ede49648190a48bfe47032a05a3 |
completed | May 3, 2026, 3:50 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, 4:33 p.m.