Triple
T8033316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empress Eugénie |
E187038
|
entity |
| Predicate | successorAsEmpressConsortOfTheFrench |
P13502
|
FINISHED |
| Object | none (monarchy abolished) |
—
|
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: none (monarchy abolished) | Statement: [Empress Eugénie, successorAsEmpressConsortOfTheFrench, none (monarchy abolished)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorAsEmpressConsortOfTheFrench Context triple: [Empress Eugénie, successorAsEmpressConsortOfTheFrench, none (monarchy abolished)]
-
A.
successorAsEmpressOfTheFrench
chosen
Indicates that one person became the next Empress of the French following another person in that imperial role.
-
B.
successorAsEmpress
Indicates that one person became the next empress following another, directly succeeding her in that imperial role.
-
C.
successorAsQueenConsort
Indicates that one individual became the next queen consort following another in a royal succession.
-
D.
predecessorAsEmpressOfTheFrench
Indicates that one person previously held the title Empress of the French before another person, in a direct succession.
-
E.
successorAsQueenMother
Indicates that one individual assumed the role of Queen Mother directly after another individual, succeeding her in that specific position.
- 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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ef3e6848190913c4b1bef506aae |
completed | March 31, 2026, 3:26 a.m. |
| PD | Predicate disambiguation | batch_69cb049688208190b32088bd2c5930bc |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:22 p.m.