Triple
T4933141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie of France |
E110744
|
entity |
| Predicate | reignAsCountessConsortStart |
P59553
|
FINISHED |
| Object | 1164 |
—
|
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: 1164 | Statement: [Marie of France, reignAsCountessConsortStart, 1164]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reignAsCountessConsortStart Context triple: [Marie of France, reignAsCountessConsortStart, 1164]
-
A.
reignAsConsortStart
Indicates the date or point in time when an individual began their role or tenure as a consort.
-
B.
reignAsEmpressConsortBegan
Indicates the point in time when an individual began their tenure or role as an empress consort.
-
C.
reignAsQueenConsortOfEnglandStart
Indicates the time at which an individual began serving as queen consort of England to a reigning English monarch.
-
D.
reignAsQueenConsortOfFranceStart
Indicates the time at which a person began serving as queen consort of France.
-
E.
reignAsQueenConsort
Indicates that a person holds the position and performs the role of queen consort during the reign of a monarch.
- 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_69bd4415190c8190817bee7ec9f9f944 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd70652d988190ba4a493db510952e |
completed | March 20, 2026, 4:05 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3695c8819094e7ad2f6d4ba1ac |
completed | March 20, 2026, 3:48 p.m. |
| PDg | Predicate description generation | batch_69bd6d3806f881909c06687e9e57b67f |
completed | March 20, 2026, 3:52 p.m. |
Created at: March 20, 2026, 1:30 p.m.