Triple
T33858811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger Smith |
E867864
|
entity |
| Predicate | startTimeOfSpouseVictoriaShawMarriage |
P68337
|
FINISHED |
| Object | 1956 |
—
|
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: 1956 | Statement: [Roger Smith, startTimeOfSpouseVictoriaShawMarriage, 1956]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfSpouseVictoriaShawMarriage Context triple: [Roger Smith, startTimeOfSpouseVictoriaShawMarriage, 1956]
-
A.
endTimeOfSpouseVictoriaShawMarriage
Indicates the date and time when the subject’s marriage to Victoria Shaw ended.
-
B.
holderMarriageDateToVictoria
chosen
Indicates the date on which the holder entered into marriage with Victoria.
-
C.
startTimeOfMarriageToLauraCharteris
Indicates the specific date and time when an individual’s marriage to Laura Charteris began.
-
D.
startTimeOfMarriageWithBelPowley
Indicates the specific time at which a person’s marriage to Bel Powley began.
-
E.
marriageStartDateWithRobertDevereux
Indicates the date on which a marriage involving Robert Devereux officially began.
- 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_69f349943ccc8190a3c41a3e0ae46cbf |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ffed8912488190baa05f572e5b1b89 |
completed | May 10, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69ffed12a76c8190ad85c6ac869c72e9 |
completed | May 10, 2026, 2:27 a.m. |
Created at: May 1, 2026, 1:47 a.m.