Triple
T2901944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romola |
E62672
|
entity |
| Predicate | historicalBackdrop |
P36351
|
FINISHED |
| Object | fall of the Medici in Florence |
—
|
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: fall of the Medici in Florence | Statement: [Romola, historicalBackdrop, fall of the Medici in Florence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalBackdrop Context triple: [Romola, historicalBackdrop, fall of the Medici in Florence]
-
A.
historicalCategory
Indicates that an entity is classified within a particular historical grouping, period, or type based on its time-related characteristics or context.
-
B.
historicalFocus
chosen
Indicates that something is primarily concerned with, centered on, or devoted to a particular historical period, event, or theme.
-
C.
historicalCondition
Indicates that one entity represents a condition, state, or circumstance that applied to another entity at some point in the past.
-
D.
historicalReference
Indicates that one entity refers to, cites, or alludes to another entity from an earlier time or historical context.
-
E.
historicalCharacteristic
Indicates that an entity possesses a trait, feature, or quality that is rooted in or defined by its history or past events.
- 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_69ab4c3e070c8190b78d3d2c005876dd |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abe0b261c081909b66b21520b4731b |
completed | March 7, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69abdd19bac881908f047d616aca8438 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:10 p.m.