Triple
T31839070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dennis Mitchell (Mason Gamble) |
E812750
|
entity |
| Predicate | originalMediumOfCharacter |
P203132
|
FINISHED |
| Object | comic strip |
—
|
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: comic strip | Statement: [Dennis Mitchell (Mason Gamble), originalMediumOfCharacter, comic strip]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalMediumOfCharacter Context triple: [Dennis Mitchell (Mason Gamble), originalMediumOfCharacter, comic strip]
-
A.
primaryMediumOfDepiction
Indicates that a specified medium (such as painting, sculpture, or photography) is the main form through which an entity is depicted.
-
B.
basedOnCharacterFromWork
Indicates that one entity is derived from, inspired by, or modeled after a character that appears in another creative work.
-
C.
referenceMedium
Indicates that one entity serves as the medium, channel, or format through which another entity is referenced, accessed, or communicated.
-
D.
originalLanguageOfCharacterWork
Indicates that a language is the original language in which a particular character-related work (e.g., story, script, or media) was created or first expressed.
-
E.
fictionalMedium
Indicates that a work of fiction is presented or conveyed through a particular medium or format (such as a book, film, game, or comic).
- F. None of above. chosen
Provenance (4 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_69f348ea7ffc8190a2ab43d80277cf59 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a012594c27081908c80f0e0e6010290 |
completed | May 11, 2026, 12:40 a.m. |
| PD | Predicate disambiguation | batch_6a01252350548190b1df9edc9e581e91 |
completed | May 11, 2026, 12:38 a.m. |
| PDg | Predicate description generation | batch_6a012593db3c8190b339c4db93f87e89 |
completed | May 11, 2026, 12:40 a.m. |
Created at: April 30, 2026, 11:49 p.m.