Triple
T30344327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monthly Shōnen Gangan |
E771832
|
entity |
| Predicate | hasSpinOffLabel |
P190352
|
FINISHED |
| Object | Gangan 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: Gangan Comics | Statement: [Monthly Shōnen Gangan, hasSpinOffLabel, Gangan Comics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpinOffLabel Context triple: [Monthly Shōnen Gangan, hasSpinOffLabel, Gangan Comics]
-
A.
hasSpinOff
Indicates that one entity is a derivative or spin-off product, work, or organization that originated from another entity.
-
B.
hasSpinOffPotential
Indicates that an entity (such as a project, product, or idea) has the capacity to be developed into a separate, independent venture or derivative offering.
-
C.
hasFranchiseOrSpinOff
Indicates that one work, series, or product is related to another as a franchise entry or a spin-off derived from it.
-
D.
hasSpinOffAttempt
Indicates an attempt has been made to create a spin-off entity, project, or product derived from the original.
-
E.
hasSpinOffTieIns
Indicates that one entity has related derivative works or products that are spin-offs tied to another entity.
- 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
| PDg | Predicate description generation | batch_69fcc4b5f22c8190b8b256adbdc2570c |
completed | May 7, 2026, 4:58 p.m. |
Created at: April 29, 2026, 7:55 p.m.