Triple
T31943184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 風雷神門 |
E815579
|
entity |
| Predicate | colorOfCharacters |
P180816
|
FINISHED |
| Object | black |
—
|
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: black | Statement: [風雷神門, colorOfCharacters, black]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorOfCharacters Context triple: [風雷神門, colorOfCharacters, black]
-
A.
colorInComics
Indicates that one entity is depicted using a particular color within the context or style of comics.
-
B.
leadCharacterColor
Indicates that one entity is the primary character and the other specifies the color associated with that lead character.
-
C.
styleCharacter
Indicates that one entity defines, influences, or characterizes the stylistic qualities or manner of expression of another entity.
-
D.
hairColorInFiction
Indicates that a fictional character is depicted as having a particular hair color within a narrative or fictional context.
-
E.
hairColorOfFamousCharacter
Indicates the specific hair color associated with a particular famous character.
- 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_69f348f42d188190a33fc8d20ec50517 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7516d5b4081908588a6feb541f355 |
completed | May 3, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69f74d40ebb081909daf60623e38f41d |
completed | May 3, 2026, 1:27 p.m. |
| PDg | Predicate description generation | batch_69f7516c538481908c6e55cf76add098 |
completed | May 3, 2026, 1:45 p.m. |
Created at: May 1, 2026, 12:06 a.m.