Triple
T29169150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alice-for-Short |
E739404
|
entity |
| Predicate | hasCharacterizationStyle |
P662
|
FINISHED |
| Object | detailed |
—
|
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: detailed | Statement: [Alice-for-Short, hasCharacterizationStyle, detailed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCharacterizationStyle Context triple: [Alice-for-Short, hasCharacterizationStyle, detailed]
-
A.
hasStyleCharacteristics
Indicates that one entity exhibits or embodies the stylistic features, traits, or qualities associated with another entity.
-
B.
characterStyle
Indicates how a character is visually or typographically presented, such as its font, weight, size, or decorative attributes.
-
C.
styleCharacter
Indicates that one entity defines, influences, or characterizes the stylistic qualities or manner of expression of another entity.
-
D.
hasAuthorCharacteristic
Indicates that an author possesses a particular attribute, trait, or quality.
-
E.
characterizedBy
chosen
Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
- 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_69f07cb6394c8190ab7842c48e699e2a |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f7c29e1b848190b945c6c6120a5330 |
completed | May 3, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
Created at: April 28, 2026, 11:51 a.m.