Triple
T27942154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New England Comics universe |
E700780
|
entity |
| Predicate | creatorOfFlagshipCharacter |
P40162
|
FINISHED |
| Object | Ben Edlund |
—
|
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: Ben Edlund | Statement: [New England Comics universe, creatorOfFlagshipCharacter, Ben Edlund]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creatorOfFlagshipCharacter Context triple: [New England Comics universe, creatorOfFlagshipCharacter, Ben Edlund]
-
A.
creatorOfCharacter
chosen
Indicates that one entity is the originator or author who created or conceived the other entity as a character.
-
B.
franchiseCharacterCreator
Indicates that an entity is the creator or originator of a character that belongs to a particular franchise.
-
C.
hasFounderCharacter
Indicates that an entity has a founder who possesses a specified character trait or set of personal qualities.
-
D.
developedByCharacter
Indicates that something (such as an item, technique, or work) was created, designed, or brought into existence by a particular character.
-
E.
creatorOfAdaptationCharacterIn
Indicates that a person is the creator of a character that appears in a particular adaptation of a work.
- 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_69ef6a5028108190a14696d9821dde49 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f7979a073881909a4fde2558e6b6f3 |
completed | May 3, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
Created at: April 27, 2026, 7:18 p.m.