Triple
T21327002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alana Stewart |
E525784
|
entity |
| Predicate | startTimeOfMarriageToGeorgeHamilton |
P143731
|
FINISHED |
| Object | 1972 |
—
|
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: 1972 | Statement: [Alana Stewart, startTimeOfMarriageToGeorgeHamilton, 1972]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfMarriageToGeorgeHamilton Context triple: [Alana Stewart, startTimeOfMarriageToGeorgeHamilton, 1972]
-
A.
startTimeOfMarriageWithOliviaNewtonJohn
Indicates the date and time when a marriage involving Olivia Newton-John began.
-
B.
marriageToPrinceStart
Indicates the point in time when an individual begins being married to a prince.
-
C.
marriageStartDateWithRobertCarr
Indicates the date on which an entity’s marriage to Robert Carr began.
-
D.
startTime (marriage to John Spencer-Churchill)
Indicates the date and time at which the marriage to John Spencer-Churchill began.
-
E.
marriageStartDateWithRobertDevereux
Indicates the date on which a marriage involving Robert Devereux officially began.
- 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7ab4a796081908148ec9106362d3d |
completed | April 21, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69e6161feea4819091d13bb003363279 |
completed | April 20, 2026, 12:03 p.m. |
| PDg | Predicate description generation | batch_69e6190163448190a2404b396215c686 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 16, 2026, 4:41 p.m.