Triple
T25157223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harlequin Valentine |
E626346
|
entity |
| Predicate | illustratorOfAdaptation |
P158166
|
FINISHED |
| Object |
John Bolton
John Bolton is a British comic book artist renowned for his richly painted, atmospheric artwork on horror and fantasy titles.
|
E1675220
|
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: John Bolton | Statement: [Harlequin Valentine, illustratorOfAdaptation, John Bolton]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: John Bolton Triple: [Harlequin Valentine, illustratorOfAdaptation, John Bolton]
Generated description
John Bolton is a British comic book artist renowned for his richly painted, atmospheric artwork on horror and fantasy titles.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: illustratorOfAdaptation Context triple: [Harlequin Valentine, illustratorOfAdaptation, John Bolton]
-
A.
illustratorOfComicAdaptation
Indicates that a person served as the illustrator for a comic adaptation of another work.
-
B.
illustratorOf
chosen
Indicates that one entity serves as the illustrator or creator of the visual artwork for another entity, such as a book, article, or other work.
-
C.
hasGraphicNovelAdaptation
Indicates that a work has been adapted into a graphic novel format.
-
D.
isTelevisionAdaptationOf
Indicates that a television show is an adaptation derived from the story, characters, or content of another original work.
-
E.
inspiredAdaptationsIn
Indicates that one entity served as the creative source or influence for adaptations that were produced or manifested within another entity (such as a medium, work, or context).
- F. None of above.
Provenance (6 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_69e2ff2834ec8190b0872e2ec3d76023 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f46d3f35848190b56a4373c97a7d64 |
completed | May 1, 2026, 9:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1075c3f8a0819098ebcbb569e36d90 |
completed | May 22, 2026, 3:27 p.m. |
| NEDg | Description generation | batch_6a1076b9b58881908eb0b619471c3879 |
completed | May 22, 2026, 3:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1077b79abc819099f92e2e2cc19c5d |
completed | May 22, 2026, 3:35 p.m. |
| PD | Predicate disambiguation | batch_69f4683472ec8190a483b3b8afe71720 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 18, 2026, 6:30 a.m.