Triple
T37235752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josiah Flintabbatey Flonatin |
E923567
|
entity |
| Predicate | inspiredByWorkAdaptationOf |
P122341
|
FINISHED |
| Object | The Sunless City |
—
|
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: The Sunless City | Statement: [Josiah Flintabbatey Flonatin, inspiredByWorkAdaptationOf, The Sunless City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredByWorkAdaptationOf Context triple: [Josiah Flintabbatey Flonatin, inspiredByWorkAdaptationOf, The Sunless City]
-
A.
inspiredByAdaptationOf
chosen
Indicates that something draws its inspiration from an adaptation (rather than the original source) of another work or entity.
-
B.
adaptsWorkOf
Indicates that one entity modifies, transforms, or reinterprets the work created by another entity into a new form or context.
-
C.
inspiredAdaptationElement
Indicates that one element in an adaptation is creatively derived from, influenced by, or modeled after another source element.
-
D.
inspiredAdaptationCreator
Indicates that one entity created an adaptation that was inspired by another entity’s original work or idea.
-
E.
workAdaptedIn
Indicates that a work has been transformed or re-created into another medium or format, such as a book adapted into a film, play, or other derivative work.
- 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_69f76ea9fee88190a589f661d95a7189 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd7b0503a08190ba07338365b6fcc9 |
completed | May 8, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69fd7a9733dc81909199f453c0cc2bc1 |
completed | May 8, 2026, 5:54 a.m. |
Created at: May 3, 2026, 4:15 p.m.