Triple
T14976762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Edward Burgh |
E373467
|
entity |
| Predicate | marriageToCatherineParr |
P116918
|
FINISHED |
| Object | was Catherine Parr’s first marriage |
—
|
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: was Catherine Parr’s first marriage | Statement: [Sir Edward Burgh, marriageToCatherineParr, was Catherine Parr’s first marriage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageToCatherineParr Context triple: [Sir Edward Burgh, marriageToCatherineParr, was Catherine Parr’s first marriage]
-
A.
marriageToHenryVIIIStatus
Indicates the status or condition of an entity’s marriage relationship to Henry VIII (e.g., current, former, annulled, pending, etc.).
-
B.
marriageToHenryIIDate
Indicates the date on which an entity entered into marriage with Henry II.
-
C.
marriageToHenryVIIIConsummated
Indicates that the subject’s marriage to Henry VIII was physically consummated.
-
D.
marriageToEdwardTheConfessor
Indicates a marital relationship in which the subject is married to Edward the Confessor.
-
E.
marriedToFutureMonarch
Indicates that one person is married to another person who will become a monarch in the future.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6fbd138819092254ea37388026c |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a5d995881909e33658f5aea5582 |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a4d8dc8190a4c0841c20f2875f |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:51 a.m.