Triple
T33582229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avatar Press |
E860177
|
entity |
| Predicate | hasImprintFocus |
P181464
|
FINISHED |
| Object | Boundless Comics focuses on adult-themed titles |
—
|
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: Boundless Comics focuses on adult-themed titles | Statement: [Avatar Press, hasImprintFocus, Boundless Comics focuses on adult-themed titles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasImprintFocus Context triple: [Avatar Press, hasImprintFocus, Boundless Comics focuses on adult-themed titles]
-
A.
hasImprintType
Indicates that an entity (such as a publication or product) is associated with a specific type or category of imprint.
-
B.
hasImprintStyle
Indicates that one entity bears or exhibits a particular style, pattern, or form of imprint associated with another entity.
-
C.
hasImprintRole
Indicates that an entity holds a specific role or function in relation to the imprinting or publication details of another entity.
-
D.
hasImprintStatus
Indicates that an entity has a particular imprint-related status or condition assigned to it.
-
E.
hasImprintVariant
Indicates that one imprint (a specific published form of a work) is a variant version of another imprint.
- 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_69f3497d37848190afcbb5ef3f5c7376 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7764ab1fc81909f9348db87bd7692 |
completed | May 3, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f76905d9c88190b1ee810bc9ab644f |
completed | May 3, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69f77648979c8190b6cdbb835ab8987c |
completed | May 3, 2026, 4:22 p.m. |
Created at: May 1, 2026, 1:40 a.m.