Triple
T31797685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Napoléon (Maria Clotilde of Savoy) |
E811642
|
entity |
| Predicate | startUseOfTitle |
P199504
|
FINISHED |
| Object | 1859 |
—
|
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: 1859 | Statement: [Princess Napoléon (Maria Clotilde of Savoy), startUseOfTitle, 1859]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startUseOfTitle Context triple: [Princess Napoléon (Maria Clotilde of Savoy), startUseOfTitle, 1859]
-
A.
usesTitleIn
Indicates that an entity is referred to using a particular title within a specified context or medium.
-
B.
firstUseAsTitleBy
Indicates that an entity is the first to use a given term, phrase, or designation as a formal title for another entity.
-
C.
usedTitleIn
Indicates that one entity employed or referenced another entity as a title in some context.
-
D.
usedAsTitleBeforeName
Indicates that a term or phrase functions as a formal title placed immediately before a person's name.
-
E.
usedTitleFrom
Indicates that one entity has employed or adopted the title originating from another entity.
- 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_69f348e70d188190b4637c5509f81274 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ff3fb2318c81908a46c2f513608935 |
completed | May 9, 2026, 2:07 p.m. |
| PD | Predicate disambiguation | batch_69ff3e96dcc48190819f6204680d84aa |
completed | May 9, 2026, 2:03 p.m. |
| PDg | Predicate description generation | batch_69ff3fb151008190bf8a90f9f1c5f0c8 |
completed | May 9, 2026, 2:07 p.m. |
Created at: April 30, 2026, 11:41 p.m.