Triple
T24012126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Law Dog |
E594560
|
entity |
| Predicate | representsInGames |
P84357
|
FINISHED |
| Object | home games of Dodge City Law |
—
|
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: home games of Dodge City Law | Statement: [Law Dog, representsInGames, home games of Dodge City Law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsInGames Context triple: [Law Dog, representsInGames, home games of Dodge City Law]
-
A.
relatedGame
Indicates that one game has a notable connection or association with another game, such as shared content, themes, or series.
-
B.
supportsGames
Indicates that an entity is capable of running, handling, or being compatible with one or more games.
-
C.
gamesOf
Indicates a relationship where one entity is the set, list, or collection of games associated with another entity.
-
D.
associatedWithGame
chosen
Indicates that there is a relationship or connection between an entity and a particular game.
-
E.
has2DGameAppearances
Indicates that an entity appears as a character or element in one or more 2D video games.
- 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_69e288bc8f608190ac4af29f0bd1c744 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d59d6a2c8190860a44c056030826 |
completed | April 29, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:41 p.m.