Triple
T20192796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Game Freak |
E493014
|
entity |
| Predicate | originallyForm |
P139091
|
FINISHED |
| Object | dōjin game magazine |
—
|
LITERAL FINISHED |
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: dōjin game magazine | Statement: [Game Freak, originallyForm, dōjin game magazine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originallyForm Context triple: [Game Freak, originallyForm, dōjin game magazine]
-
A.
originalForm
Indicates that one entity is the earlier, source, or initial version from which another entity is derived or transformed.
-
B.
originalFor
Indicates that one entity serves as the source, basis, or prototype from which another entity is derived, adapted, or created.
-
C.
nativeForm
Indicates that one entity is the original or native linguistic form of another, such as a word’s form in its source language.
-
D.
originalFormulation
Indicates that one entity is the initial or earliest version in which another entity (such as an idea, work, or product) was first expressed or formulated.
-
E.
originallyBy
Indicates that one entity is the original creator, author, or source of 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad654648190a27521e6e8ea40c5 |
completed | April 20, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69e55b11124c8190babacf2a0fe2d057 |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56700b1a08190ace53cf95827d72d |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:37 p.m.