Triple
T38160097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perpetua |
E952992
|
entity |
| Predicate | italicCharacteristic |
P57048
|
FINISHED |
| Object | distinctive calligraphic forms |
—
|
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: distinctive calligraphic forms | Statement: [Perpetua, italicCharacteristic, distinctive calligraphic forms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: italicCharacteristic Context triple: [Perpetua, italicCharacteristic, distinctive calligraphic forms]
-
A.
characterStyle
chosen
Indicates how a character is visually or typographically presented, such as its font, weight, size, or decorative attributes.
-
B.
styleCharacter
Indicates that one entity defines, influences, or characterizes the stylistic qualities or manner of expression of another entity.
-
C.
accentStyle
Indicates the manner or pattern in which an entity’s accent or emphasis is applied or presented.
-
D.
spanCharacteristic
Indicates that one entity has a particular measurable or descriptive property that characterizes the extent, duration, or range of another entity or phenomenon.
-
E.
allyOfCharacter
Indicates that one character maintains an alliance or supportive partnership with another character.
- 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_69f76f0b93c48190a117319ab3a9f282 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:21 p.m.