Triple
T26787248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelsey Chow as Mikayla Makoola |
E670417
|
entity |
| Predicate | supportsCharacters |
P111069
|
FINISHED |
| Object | twin kings of Kinkow |
—
|
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: twin kings of Kinkow | Statement: [Kelsey Chow as Mikayla Makoola, supportsCharacters, twin kings of Kinkow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsCharacters Context triple: [Kelsey Chow as Mikayla Makoola, supportsCharacters, twin kings of Kinkow]
-
A.
supportsCharacterDifferences
Indicates that one entity accepts, encourages, or positively reinforces differences in traits, identities, or characteristics between characters.
-
B.
usesCharactersAs
Indicates that one entity employs or incorporates specific characters (such as letters, symbols, or glyphs) from another entity for its representation or functioning.
-
C.
hasCharacters
chosen
Indicates that an entity (such as a work or story) includes or features certain characters as part of its content.
-
D.
containsCompatibilityCharacters
Indicates that one entity includes or is associated with characters that are designated as compatibility characters relative to another encoding or standard.
-
E.
supportsUnicode
Indicates that an entity is capable of correctly handling, storing, or displaying Unicode-encoded text.
- 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_69eeb31d45f8819089f52ebdbc556218 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69fec25f0fc48190b87ab1f9cd1eb0de |
completed | May 9, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69fec079a770819098df7cc3049df954 |
completed | May 9, 2026, 5:04 a.m. |
Created at: April 27, 2026, 4:13 a.m.