Triple
T27320109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Victoria Melita of Edinburgh |
E689466
|
entity |
| Predicate | startTime (second marriage) |
P135647
|
FINISHED |
| Object | 1905 |
—
|
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: 1905 | Statement: [Princess Victoria Melita of Edinburgh, startTime (second marriage), 1905]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTime (second marriage) Context triple: [Princess Victoria Melita of Edinburgh, startTime (second marriage), 1905]
-
A.
remarriageStart
chosen
Indicates the point in time when a new marriage begins following the end of a previous marriage.
-
B.
marriageStartTime
Indicates the date and time at which a marriage between two entities officially begins.
-
C.
startTime (marriage to Stavros Niarchos)
Indicates the date and time when the marriage to Stavros Niarchos began.
-
D.
startTime (marriage to Ernest Hemingway)
Indicates the date and time when the marriage to Ernest Hemingway began.
-
E.
startTime (marriage to Paul Mowrer)
Indicates the date and time when the marriage to Paul Mowrer 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_69ef355c53a08190a8a92e355a7ce115 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69fcc7338120819081cb46547d60f2cb |
completed | May 7, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
Created at: April 27, 2026, 11:32 a.m.