Triple
T28301774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabella; or, The Pot of Basil |
E713727
|
entity |
| Predicate | basedOnStory |
P71481
|
FINISHED |
| Object | "Lisabetta da Messina" |
—
|
NE NERFINISHED |
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: "Lisabetta da Messina" | Statement: [Isabella; or, The Pot of Basil, basedOnStory, "Lisabetta da Messina"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnStory Context triple: [Isabella; or, The Pot of Basil, basedOnStory, "Lisabetta da Messina"]
-
A.
basedOnInFiction
Indicates that a fictional work, character, or element is derived from, inspired by, or modeled after another real or fictional source.
-
B.
basedOnBy
Indicates that one entity is derived from, justified by, or constructed using another entity as its source, foundation, or reference.
-
C.
narrativeBasisFor
chosen
Indicates that one entity serves as the underlying narrative source, foundation, or inspiration for the story or account represented by another entity.
-
D.
basedOnChapter
Indicates that something (such as a work, section, or element) is derived from, adapted from, or primarily informed by a specific chapter.
-
E.
basedOnSubject
Indicates that something is derived from, influenced by, or determined according to a particular subject.
- 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_69efb524ab688190a1ce7ee7c9520932 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
Created at: April 27, 2026, 11:35 p.m.