Triple
T12657131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Lady of France |
E302313
|
entity |
| Predicate | hasNoOfficialSalary |
P87199
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [First Lady of France, hasNoOfficialSalary, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoOfficialSalary Context triple: [First Lady of France, hasNoOfficialSalary, true]
-
A.
hasNoFormalSalary
chosen
Indicates that an entity does not receive a fixed, officially defined salary for their role or work.
-
B.
hasNoAdditionalRemuneration
Indicates that an entity does not receive any extra payment or compensation beyond the primary agreed remuneration.
-
C.
hasNoOfficialRecordIn
Indicates that an entity lacks any recognized or formally documented record within a specified system, registry, or authority.
-
D.
notOfficialIn
Indicates that an entity does not hold an official role, status, or position within a specified organization, group, or jurisdiction.
-
E.
hasNotablePosition
Indicates that an entity holds or has held a position, role, or office considered notable or significant.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69d960b78ce8819091f15dd5013e6da5 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:18 p.m.