Triple
T14430687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne of Brittany |
E357818
|
entity |
| Predicate | marriageStartToCharlesVIII |
P114251
|
FINISHED |
| Object | 1491 |
—
|
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: 1491 | Statement: [Anne of Brittany, marriageStartToCharlesVIII, 1491]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageStartToCharlesVIII Context triple: [Anne of Brittany, marriageStartToCharlesVIII, 1491]
-
A.
marriageToFrancisIOfAustriaStart
Indicates the point in time when an entity’s marriage to Francis I of Austria begins.
-
B.
marriageToHenryIIDate
Indicates the date on which an entity entered into marriage with Henry II.
-
C.
marriageToWilliamIOfWürttembergStart
Indicates the starting point in time when an entity became married to William I of Württemberg.
-
D.
marriageStartWithCatherineBrelet
Indicates the point in time when an entity begins a marital relationship with Catherine Brelet.
-
E.
marriageFormedBy
Indicates that a marriage relationship was created or brought into existence by a specific event, action, or process.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de914570f08190b1c7c1c57a0cb476 |
completed | April 14, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69de5c30467881908e770e3940295641 |
completed | April 14, 2026, 3:24 p.m. |
| PDg | Predicate description generation | batch_69de5fb4de14819092acdecbd201d672 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:18 a.m.