Triple
T9078548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valerie Hobson |
E217551
|
entity |
| Predicate | endTimeOfSpouse:Anthony Havelock-Allan |
P87083
|
FINISHED |
| Object | 1952 |
—
|
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: 1952 | Statement: [Valerie Hobson, endTimeOfSpouse:Anthony Havelock-Allan, 1952]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeOfSpouse:Anthony Havelock-Allan Context triple: [Valerie Hobson, endTimeOfSpouse:Anthony Havelock-Allan, 1952]
-
A.
endTimeOfSpouse_J. Howard Marshall
Indicates the time at which the marital relationship with J. Howard Marshall ended.
-
B.
marriageToEdwardTheConfessor
Indicates a marital relationship in which the subject is married to Edward the Confessor.
-
C.
hasNamesakeSpouse
Indicates that one entity has a spouse who shares the same name as another specified entity.
-
D.
spouseOfMayflowerPassenger
Indicates that one person is the spouse of an individual who was a passenger on the Mayflower.
-
E.
succeededByInMarriageToHenryI
Indicates that one person became the subsequent spouse of Henry I, following a previous spouse in marriage to him.
- 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_69ca83d6c14c8190bc056d927f00a2a2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc95c7d3688190a4c1c6a92965eae4 |
completed | April 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69cc65fa79bc81908b46f05c8bba920f |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc6a3c78388190a7436acc0e44ff55 |
completed | April 1, 2026, 12:43 a.m. |
Created at: March 30, 2026, 7:12 p.m.