Triple
T10384583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyacinthe-Gabrielle Roland |
E244726
|
entity |
| Predicate | spouseNobleRank |
P17687
|
FINISHED |
| Object | marquess |
—
|
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: marquess | Statement: [Hyacinthe-Gabrielle Roland, spouseNobleRank, marquess]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseNobleRank Context triple: [Hyacinthe-Gabrielle Roland, spouseNobleRank, marquess]
-
A.
spouseOfHonouree
Indicates that one person is the spouse (married partner) of the honouree.
-
B.
hasSpouseTitle
chosen
Indicates that a person’s spouse holds a particular title or honorific designation.
-
C.
marriedToRank
Indicates that one entity is married to another entity who holds a specific rank or position.
-
D.
spouseOfHead
Indicates that one person is the married partner of the individual who holds the position of head (e.g., head of a household, organization, or state).
-
E.
spouseDynasty
Indicates that there is a marital relationship linking an entity to the dynasty (family line or ruling house) of their spouse.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9a35fb08190ab85b4a8f8dea511 |
completed | April 7, 2026, 11:25 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb0e7a88190bec0b7a52c70dfe2 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 12:04 p.m.