Triple
T29250715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | H. G. Peter |
E741557
|
entity |
| Predicate | createdArtworkForCharacter |
P194005
|
FINISHED |
| Object | Wonder Woman |
—
|
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: Wonder Woman | Statement: [H. G. Peter, createdArtworkForCharacter, Wonder Woman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: createdArtworkForCharacter Context triple: [H. G. Peter, createdArtworkForCharacter, Wonder Woman]
-
A.
characterArtForm
Indicates a relationship where a character is associated with, depicted in, or expressed through a particular artistic form or medium.
-
B.
coCreatedCharactersWith
Indicates that two or more entities jointly created one or more characters together.
-
C.
characterDesigner
Indicates a relationship where an entity is responsible for designing or creating the visual or conceptual characteristics of a character.
-
D.
franchiseCharacterCreator
Indicates that an entity is the creator or originator of a character that belongs to a particular franchise.
-
E.
creatorOfCharacter
Indicates that one entity is the originator or author who created or conceived the other entity as a character.
- 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_69f0911eba2c8190b07cd2fdf91422c9 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69fd5d48855c8190bd93070b6a00d8b5 |
completed | May 8, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69fd5c9aabb88190912800d90184a89d |
completed | May 8, 2026, 3:46 a.m. |
| PDg | Predicate description generation | batch_69fd5d47da488190a4f2dbd44a0a83b2 |
completed | May 8, 2026, 3:49 a.m. |
Created at: April 28, 2026, 12:34 p.m.