Triple
T18141803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frances Howard, Countess of Essex |
E434279
|
entity |
| Predicate | marriageEndCauseWithRobertDevereux |
P130607
|
FINISHED |
| Object | annulment |
—
|
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: annulment | Statement: [Frances Howard, Countess of Essex, marriageEndCauseWithRobertDevereux, annulment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageEndCauseWithRobertDevereux Context triple: [Frances Howard, Countess of Essex, marriageEndCauseWithRobertDevereux, annulment]
-
A.
marriageToCatherineParr
Indicates that the subject is married to Catherine Parr.
-
B.
endTime (marriage to John Spencer-Churchill)
Indicates the date and time at which the marriage to John Spencer-Churchill ended.
-
C.
marriageToHenryVIIIStatus
Indicates the status or condition of an entity’s marriage relationship to Henry VIII (e.g., current, former, annulled, pending, etc.).
-
D.
marriageOrderWithCatherineParr
Indicates the sequence or relative ordering of marriages involving Catherine Parr in relation to another spouse or marriage event.
-
E.
marriageToHenryVIIIConsummated
Indicates that the subject’s marriage to Henry VIII was physically consummated.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de0c8aa88190b4ded7e6d05f6edf |
completed | April 19, 2026, 1:52 p.m. |
| PD | Predicate disambiguation | batch_69e43317d11c81908d1dc14921566b47 |
completed | April 19, 2026, 1:42 a.m. |
| PDg | Predicate description generation | batch_69e438f5ae2c8190b11dee46534fa5a9 |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:29 a.m.