Triple
T18552650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barão (Portugal) |
E453414
|
entity |
| Predicate | femaleTitleHolderDesignation |
P19475
|
FINISHED |
| Object | baroness |
—
|
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: baroness | Statement: [Barão (Portugal), femaleTitleHolderDesignation, baroness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: femaleTitleHolderDesignation Context triple: [Barão (Portugal), femaleTitleHolderDesignation, baroness]
-
A.
officeHolderTitleWhenFemale
chosen
Indicates the specific title used for a person holding an office when that office holder is female.
-
B.
patriarchalTitleType
Indicates the specific type or category of a patriarchal title held within a religious or ecclesiastical hierarchy.
-
C.
titleHolderDesignation
Indicates the specific role or designation held by the current holder of a particular title or position.
-
D.
motherTitle
Indicates the formal title or honorific associated with a person's mother.
-
E.
honorificTitle
Indicates that one entity serves as a formal honorific or respectful title used to address or refer to another entity.
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e538027b94819082a4c4af66e170d7 |
completed | April 19, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69e469e274a48190a570b25cfef4d890 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:38 a.m.