Triple
T20192860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Creatures Inc. |
E493015
|
entity |
| Predicate | roleInPokémonFranchise |
P139093
|
FINISHED |
| Object | development of Pokémon video games |
—
|
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: development of Pokémon video games | Statement: [Creatures Inc., roleInPokémonFranchise, development of Pokémon video games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInPokémonFranchise Context triple: [Creatures Inc., roleInPokémonFranchise, development of Pokémon video games]
-
A.
roleInMonsterVerse
Indicates that an entity has a specific role or function within the MonsterVerse franchise or universe.
-
B.
introducedAsTrainer
Indicates that one entity is presented or identified to another entity in the role of a trainer.
-
C.
isStarterPokémonIn
Indicates that a Pokémon serves as a starter Pokémon within a specified game, region, or context.
-
D.
hasPokémonProfessor
Indicates that an entity is associated with or guided by a specific Pokémon Professor.
-
E.
roleInSuperMarioLand
Indicates the specific function or part an entity plays within the context of the game Super Mario Land.
- 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.