Triple
T24444138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diana Mosley |
E616353
|
entity |
| Predicate | marriageStartWithOswaldMosley |
P156152
|
FINISHED |
| Object | 1936-10-06 |
—
|
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: 1936-10-06 | Statement: [Diana Mosley, marriageStartWithOswaldMosley, 1936-10-06]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageStartWithOswaldMosley Context triple: [Diana Mosley, marriageStartWithOswaldMosley, 1936-10-06]
-
A.
marriageStartWithBessieSmith
Indicates the point in time when a marriage involving Bessie Smith began.
-
B.
marriageStartWithPompey
Indicates the point in time or event at which a marriage involving Pompey begins.
-
C.
marriageStartWithLaurenceOlivier
Indicates the point in time when a marriage involving Laurence Olivier began.
-
D.
startTime (marriage to John Spencer-Churchill)
Indicates the date and time at which the marriage to John Spencer-Churchill began.
-
E.
marriageStartWithMarilynMonroe
Indicates the point in time when an entity begins a marriage with Marilyn Monroe.
- 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_69e2d7edca608190aafefc8877a1b4da |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29851e6cc8190a8f160cbed4e9ab0 |
completed | April 29, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69f287d3237c819099559c00f83131d8 |
completed | April 29, 2026, 10:36 p.m. |
| PDg | Predicate description generation | batch_69f28f4d978c81908310c01def2514cc |
completed | April 29, 2026, 11:07 p.m. |
Created at: April 18, 2026, 2:17 a.m.