Triple
T23896385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betty Cooper |
E600912
|
entity |
| Predicate | hasDarkSide |
P77489
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Betty Cooper, hasDarkSide, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDarkSide Context triple: [Betty Cooper, hasDarkSide, yes]
-
A.
turnsToDarkSide
chosen
Indicates that an entity undergoes a moral or ideological shift to join or embrace an evil, antagonistic, or “dark” faction or philosophy.
-
B.
isDark
Indicates that an entity possesses a low level of lightness or brightness, making it visually dark.
-
C.
hasDarkerTone
Indicates that one entity possesses a color or shade that is visually darker than that of another entity.
-
D.
hasBlackProtagonist
Indicates that the work features a main character whose racial identity is Black.
-
E.
typeOfDarkness
Indicates a relationship where one entity is characterized as a specific kind or form of darkness relative to another.
- 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_69e295341ac0819080647f2908af793c |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cdda39448190bdefa953e0558583 |
completed | April 29, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:25 p.m.