Triple
T28897528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitana |
E732867
|
entity |
| Predicate | gameSeriesAppearance |
P165503
|
FINISHED |
| Object | Mortal Kombat II |
—
|
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: Mortal Kombat II | Statement: [Kitana, gameSeriesAppearance, Mortal Kombat II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gameSeriesAppearance Context triple: [Kitana, gameSeriesAppearance, Mortal Kombat II]
-
A.
gamesInSeries
Indicates that the related entities are individual games that belong to the same overarching game series or franchise.
-
B.
gameSeriesDebut
Indicates the first appearance or introduction of an entity within a particular game series.
-
C.
hasGameSeriesContribution
Indicates that an entity has contributed in some way to the development, production, or content of a particular game series.
-
D.
leagueSeriesNumber
Indicates the specific sequential number assigned to a league within a series or season.
-
E.
appearsInSeriesBy
Indicates that one entity (such as a work or character) is featured within a series that is created, authored, or produced by 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_69f05b08c2008190ac426a035a2ed66d |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65aa4ed148190bf84678627fdc598 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f6576487e081908d802f1caf59c423 |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f65875030881909007c502b7dcc998 |
completed | May 2, 2026, 8:03 p.m. |
Created at: April 28, 2026, 8 a.m.