Triple
T34040982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis IX of France |
E872941
|
entity |
| Predicate | sainthoodTitle |
P78467
|
FINISHED |
| Object | Saint Louis |
—
|
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: Saint Louis | Statement: [Louis IX of France, sainthoodTitle, Saint Louis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sainthoodTitle Context triple: [Louis IX of France, sainthoodTitle, Saint Louis]
-
A.
honorsTitleOfSaint
Indicates that an entity recognizes or bestows the formal religious title of "saint" upon another entity.
-
B.
religiousTitle
Indicates that one entity holds or is referred to by a specific religious rank, honorific, or clerical title in relation to another entity.
-
C.
traditionalMarianTitle
Indicates that the subject is referred to by a traditional honorific or devotional title associated with the Virgin Mary.
-
D.
papalTitle
Indicates that a given title is officially held by, or associated with, a pope.
-
E.
saintName
chosen
Indicates that an entity has the specified name under which they are recognized or venerated as a saint.
- 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_69f349a3363081909cea4c9a848cefe2 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:51 a.m.