Triple
T26920358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philippe Junot |
E677629
|
entity |
| Predicate | placeOfMarriage (to Princess Caroline of Monaco) |
P172783
|
FINISHED |
| Object | Monaco |
—
|
NE NERFINISHED |
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: Monaco | Statement: [Philippe Junot, placeOfMarriage (to Princess Caroline of Monaco), Monaco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeOfMarriage (to Princess Caroline of Monaco) Context triple: [Philippe Junot, placeOfMarriage (to Princess Caroline of Monaco), Monaco]
-
A.
endTimeOfMarriageWithPrincessCarolineOfMonaco
Indicates the date and time when a person’s marriage to Princess Caroline of Monaco ended.
-
B.
marriageFormedBy
Indicates that a marriage relationship was created or brought into existence by a specific event, action, or process.
-
C.
marriedToMonarchFrom
Indicates that a person is married to a monarch who rules or comes from a specified country or region.
-
D.
marriedToFutureMonarch
Indicates that one person is married to another person who will become a monarch in the future.
-
E.
fatherOfPrincessMarriedTo
Indicates that a person is the father of a princess who is married to another specified individual.
- 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_69eee9bdebc48190ba90a12a63e09c73 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6b0d21dd08190a9883ff71c94c71c |
completed | May 3, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6afeaaef88190aefa97e83f8db906 |
completed | May 3, 2026, 2:16 a.m. |
Created at: April 27, 2026, 6:06 a.m.