Triple
T29248206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samurai Spirits |
E741491
|
entity |
| Predicate | hasCrossoverAppearancesIn |
P177143
|
FINISHED |
| Object | The King of Fighters series |
—
|
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: The King of Fighters series | Statement: [Samurai Spirits, hasCrossoverAppearancesIn, The King of Fighters series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCrossoverAppearancesIn Context triple: [Samurai Spirits, hasCrossoverAppearancesIn, The King of Fighters series]
-
A.
hasNotableMultipleAppearances
Indicates that an entity appears multiple times in a context or medium in a way considered significant or noteworthy.
-
B.
appearsAgainst
Indicates that one entity is visually or publicly presented in opposition to, or in contrast with, another entity.
-
C.
hasSiblingSeriesAppearance
Indicates that two entities appear as siblings within the same series or narrative work.
-
D.
hasSiblingCoStars
Indicates that two or more entities have appeared together as co-stars and are siblings in relation to each other.
-
E.
hasTwinActors
Indicates that two or more actors share a twin relationship, typically portraying twin characters or being treated as twins within a given context.
- 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_69f0911eba2c8190b07cd2fdf91422c9 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f6f85bfba48190aba95b40642a8ca7 |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f65fd1d08190b88e5e68ba268500 |
completed | May 3, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69f6f854486c81909396d944a55e03ab |
completed | May 3, 2026, 7:25 a.m. |
Created at: April 28, 2026, 12:33 p.m.