Triple
T27419093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metropolis (novel) |
E692990
|
entity |
| Predicate | hasWorkBasedOnIt |
P148862
|
FINISHED |
| Object | radio adaptations |
—
|
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: radio adaptations | Statement: [Metropolis (novel), hasWorkBasedOnIt, radio adaptations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorkBasedOnIt Context triple: [Metropolis (novel), hasWorkBasedOnIt, radio adaptations]
-
A.
hasWorkBasedOn
chosen
Indicates that one work is derived from, adapted from, or otherwise based on the content of another work.
-
B.
hasBasedOn
Indicates that one entity is derived from, inspired by, or developed using another entity as its source or foundation.
-
C.
hasWorkOn
Indicates that one entity is associated with, contributes to, or performs work on another entity (such as a project, task, or artifact).
-
D.
hasWorkUsedBy
Indicates that a work (such as a resource, document, or artifact) is utilized or referenced by another entity in performing its activities or functions.
-
E.
hasWorkBy
Indicates that one entity (such as a collection, exhibition, or publication) includes or contains creative works produced by another entity (such as an artist, author, or creator).
- 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_69ef5208617081908f731d312e0fd1bc |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f7431c0eec81909ead443e07d75e18 |
completed | May 3, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69f74143cf708190a12d487884298437 |
completed | May 3, 2026, 12:36 p.m. |
Created at: April 27, 2026, 12:35 p.m.