Triple
T36481813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ten Grand |
E898835
|
entity |
| Predicate | imprintOwner |
P139315
|
FINISHED |
| Object | Image Comics |
—
|
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: Image Comics | Statement: [Ten Grand, imprintOwner, Image Comics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imprintOwner Context triple: [Ten Grand, imprintOwner, Image Comics]
-
A.
hasImprintOwner
chosen
Indicates that an imprint (such as a publishing or branding imprint) is owned or controlled by a particular entity.
-
B.
hasImprintNamedAfter
Indicates that one entity has an imprint (such as a publishing or branding subdivision) that is named after another entity.
-
C.
imprintedOn
Indicates that one entity has formed a strong, often early-life, attachment or bond to another entity, typically treating it as a primary reference or caregiver.
-
D.
hadImprint
Indicates that one entity bears or once bore a physical or symbolic mark, stamp, or impression produced by another entity.
-
E.
overseesImprint
Indicates that one entity has managerial or supervisory responsibility over the operations or activities of another entity, typically a subsidiary brand or imprint.
- 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_69f76e5a0e088190a2b6706aeb41723c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.