Triple
T10974842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Veitch |
E259342
|
entity |
| Predicate | basedOnAdaptationWorkedOn |
P96392
|
FINISHED |
| Object | Mary Shelley’s novel "Frankenstein; or, The Modern Prometheus" |
E163119
|
NE FINISHED |
How this triple was built (3 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: Mary Shelley’s novel "Frankenstein; or, The Modern Prometheus" | Statement: [John Veitch, basedOnAdaptationWorkedOn, Mary Shelley’s novel "Frankenstein; or, The Modern Prometheus"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mary Shelley’s novel "Frankenstein; or, The Modern Prometheus" Context triple: [John Veitch, basedOnAdaptationWorkedOn, Mary Shelley’s novel "Frankenstein; or, The Modern Prometheus"]
-
A.
Frankenstein; or, The Modern Prometheus
chosen
Frankenstein; or, The Modern Prometheus is an 1818 Gothic novel by Mary Shelley that tells the story of scientist Victor Frankenstein, who creates a sentient creature in a groundbreaking but tragic experiment, and is widely regarded as a foundational work of science fiction and horror literature.
-
B.
Frankenstein
Frankenstein is a comedic, family-friendly version of the classic Frankenstein’s monster who appears as one of the main monster characters in the animated Hotel Transylvania film series.
-
C.
Frankenstein
Frankenstein is a classic 1931 Universal horror film, directed by James Whale and starring Boris Karloff, that popularized the iconic cinematic image of Mary Shelley’s monster.
-
D.
The Horror of Frankenstein
The Horror of Frankenstein is a 1970 British black comedy horror film from Hammer Film Productions that reimagines the Frankenstein story with a more satirical and darkly humorous tone.
-
E.
Mary Shelley’s Frankenhole
Mary Shelley’s Frankenhole is an Adult Swim stop-motion animated comedy series that parodies classic horror and science fiction through the misadventures of a time-portal–wielding Dr. Frankenstein and his monstrous creations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnAdaptationWorkedOn Context triple: [John Veitch, basedOnAdaptationWorkedOn, Mary Shelley’s novel "Frankenstein; or, The Modern Prometheus"]
-
A.
basedOnWorkAdaptedTo
Indicates that one work is derived from and adapted based on the content, story, or elements of another pre-existing work.
-
B.
basedOnAdaptationsOf
Indicates that something is derived from or created using one or more prior adaptations of an original work, rather than directly from the original source.
-
C.
hasWorkAdaptedFrom
Indicates that one work is derived, adapted, or transformed from another pre-existing work.
-
D.
basedOnWorkEdited
Indicates that one entity is derived from, adapted from, or otherwise created on the basis of a work that another entity has edited.
-
E.
basedOnWorkAppearedIn
Indicates that something is derived from, adapted from, or otherwise created using a work that appeared in a specified source or publication.
- F. None of above. chosen
Provenance (5 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d771f3794c8190b1992b4695139b62 |
completed | April 9, 2026, 9:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d7aeb66c8190b9d18642b2ad2ea0 |
completed | April 18, 2026, 1 a.m. |
| PD | Predicate disambiguation | batch_69d72e8c27cc81908050590b7a04cafd |
completed | April 9, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69d732242fdc8190be77d1f730a42935 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:24 p.m.