Triple
T3569107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne of Cleves |
E75524
|
entity |
| Predicate | marriageToHenryVIIIStatus |
P50595
|
FINISHED |
| Object | annulled |
—
|
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: annulled | Statement: [Anne of Cleves, marriageToHenryVIIIStatus, annulled]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageToHenryVIIIStatus Context triple: [Anne of Cleves, marriageToHenryVIIIStatus, annulled]
-
A.
marriedToFutureMonarch
Indicates that one person is married to another person who will become a monarch in the future.
-
B.
engagementToHenryVIII
Indicates a formal betrothal or promise of marriage specifically to Henry VIII.
-
C.
marriageToHenryIIDate
Indicates the date on which an entity entered into marriage with Henry II.
-
D.
marriageThroughWhichTitleHeld
Indicates that a noble or formal title is held by a person specifically by virtue of (i.e., as a result of) a particular marriage.
-
E.
spouseStatusAtMarriage
Indicates the marital status each partner held at the time their marriage to one another was formed.
- 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_69ad85d512708190829c8b2d3a2ccfb8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0c083ac8190a71cd9ede2114cac |
completed | March 8, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69adb8364d848190a96a9bc7a6126af2 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adba25c66c81909a05a97327828c41 |
completed | March 8, 2026, 6:04 p.m. |
Created at: March 8, 2026, 3:21 p.m.