Triple
T11953222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna of Bohemia and Hungary |
E284479
|
entity |
| Predicate | titlesAfterMarriage |
P77742
|
FINISHED |
| Object | Queen consort of Bohemia |
—
|
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: Queen consort of Bohemia | Statement: [Anna of Bohemia and Hungary, titlesAfterMarriage, Queen consort of Bohemia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titlesAfterMarriage Context triple: [Anna of Bohemia and Hungary, titlesAfterMarriage, Queen consort of Bohemia]
-
A.
laterMarriedName
Indicates that the referenced name is a surname or full name a person adopted after a later marriage, replacing or succeeding their previous name.
-
B.
titleFromSpouse
chosen
Indicates that an entity holds a title or honorific that is derived from or acquired through their spouse.
-
C.
hasSpouseTitle
Indicates that a person’s spouse holds a particular title or honorific designation.
-
D.
hasMarriedSurname
Indicates that a person’s current surname is the one they adopted through marriage.
-
E.
marriedAfter
Indicates that one marriage occurred later in time than another specified marriage.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90365da288190a132703df563de23 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3e48e08190b2fee43af4f57323 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.