Triple
T36834313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Montagu, Duchess of Montagu |
E910228
|
entity |
| Predicate | marriedToNobleHouse |
P195478
|
FINISHED |
| Object | House of Montagu |
—
|
NE NERFINISHED |
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: House of Montagu | Statement: [Mary Montagu, Duchess of Montagu, marriedToNobleHouse, House of Montagu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriedToNobleHouse Context triple: [Mary Montagu, Duchess of Montagu, marriedToNobleHouse, House of Montagu]
-
A.
marriedToFutureMonarch
Indicates that one person is married to another person who will become a monarch in the future.
-
B.
marriedToHeiress
Indicates that a person is married to someone who is an heiress.
-
C.
spouseNobilityStatus
Indicates that the predicate specifies the nobility rank or noble status held by a person’s spouse.
-
D.
marriedToMonarchFrom
Indicates that a person is married to a monarch who rules or comes from a specified country or region.
-
E.
marriedOutsideRoyalty
Indicates that a person entered into marriage with someone who is not a member of a royal family.
- F. None of above. chosen
Provenance (4 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_69f76e7e9d60819092442fba73290a46 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fdd2be648c8190b60b3d1caeb44364 |
completed | May 8, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69fdd14a5c708190a6f95ec61f4fc28f |
completed | May 8, 2026, 12:04 p.m. |
| PDg | Predicate description generation | batch_69fdd2bda90881909aa229194d014ba7 |
completed | May 8, 2026, 12:10 p.m. |
Created at: May 3, 2026, 4:13 p.m.