Triple
T21541941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eugenia Martínez de Irujo, 12th Duchess of Montoro |
E531512
|
entity |
| Predicate | hasNobleTitleNumber |
P18767
|
FINISHED |
| Object | 12 |
—
|
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: 12 | Statement: [Eugenia Martínez de Irujo, 12th Duchess of Montoro, hasNobleTitleNumber, 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNobleTitleNumber Context triple: [Eugenia Martínez de Irujo, 12th Duchess of Montoro, hasNobleTitleNumber, 12]
-
A.
nobleTitleNumber
chosen
Indicates the ordinal number or sequence position associated with a person's noble title (e.g., first duke, second baron).
-
B.
hasNobleStatus
Indicates that an entity possesses a recognized noble rank, title, or aristocratic status.
-
C.
hasNoble
Indicates that one entity possesses or is associated with a noble title, status, or noble individual.
-
D.
hasHonoraryTitle
Indicates that an entity has been granted a formal honorary title or distinction, typically in recognition of merit or achievement.
-
E.
associatedNobleTitle
Indicates that an entity is linked to or bears a particular noble or aristocratic title.
- 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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d12b264819096f844b5833198aa |
completed | April 26, 2026, 11:17 p.m. |
| PD | Predicate disambiguation | batch_69e6320766308190ba5dca2f7c826aa4 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:28 p.m.