Triple
T9088251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georges Vanier |
E217811
|
entity |
| Predicate | termAsAmbassadorToFranceStart |
P17005
|
FINISHED |
| Object | 1944 |
—
|
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: 1944 | Statement: [Georges Vanier, termAsAmbassadorToFranceStart, 1944]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termAsAmbassadorToFranceStart Context triple: [Georges Vanier, termAsAmbassadorToFranceStart, 1944]
-
A.
startTimeAsUSMinisterToFrance
Indicates the date and time when an individual began serving in the role of United States Minister to France.
-
B.
termAsForeignMinisterStart
Indicates the date or point in time when an individual begins serving in the role of foreign minister.
-
C.
endTimeAsUSMinisterToFrance
Indicates the date and time at which an individual’s service as the U.S. Minister to France concludes.
-
D.
ambassadorialTermStart
chosen
Indicates the date on which an ambassador’s official term in a particular diplomatic post begins.
-
E.
servedAsForeignMinisterUntil
Indicates that an entity held the position of foreign minister up to a specified end date or point in time.
- 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_69ca83d8ab5881909d8fddae363b32b1 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc9657d48081909e0ae0f1fa8ff599 |
completed | April 1, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_69cc65fc7f408190a5846e29ab3b97e5 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:13 p.m.