Triple
T3647283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Félix Baciocchi |
E77330
|
entity |
| Predicate | titleHeldAsConsort |
P50009
|
FINISHED |
| Object | Prince consort of Lucca and Piombino |
—
|
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: Prince consort of Lucca and Piombino | Statement: [Félix Baciocchi, titleHeldAsConsort, Prince consort of Lucca and Piombino]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleHeldAsConsort Context triple: [Félix Baciocchi, titleHeldAsConsort, Prince consort of Lucca and Piombino]
-
A.
consortTitleAtCoronation
Indicates the formal title held by a royal consort specifically at the time of a coronation.
-
B.
hasConsortCrowned
Indicates that an individual has a spouse or consort who has been formally crowned, typically in a royal or ceremonial context.
-
C.
titleHeldIn
Indicates that a particular title or position is held within a specified organization, jurisdiction, or contextual domain.
-
D.
currentTitleHolderSpouseOf
Indicates that one entity is the current spouse of the individual who presently holds a specified title.
-
E.
representativeOfMonarchTitle
Indicates that one entity serves as the official representative or holder of authority on behalf of a monarch’s title.
- F. None of above. chosen
Provenance (4 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_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc38aa2388190bf1af926375e2433 |
completed | March 8, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69adb8445b2c8190ab07f6ad4e010d0e |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb8e4ba948190a9b777cf7f788b96 |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:24 p.m.