Triple
T22512818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Family Π |
E556563
|
entity |
| Predicate | textualCharacteristic |
P134574
|
FINISHED |
| Object | shared patterns of variant readings |
—
|
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: shared patterns of variant readings | Statement: [Family Π, textualCharacteristic, shared patterns of variant readings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textualCharacteristic Context triple: [Family Π, textualCharacteristic, shared patterns of variant readings]
-
A.
textualCharacterization
Indicates that one entity provides a descriptive or narrative characterization of another entity, typically in textual form.
-
B.
contentCharacterization
chosen
Indicates that one entity characterizes, describes, or classifies the content or informational nature of another entity.
-
C.
termCharacteristics
Indicates the defining properties, attributes, or features that characterize a given term.
-
D.
textCharacter
Indicates that one entity is a character (such as a letter, digit, or symbol) within a piece of text associated with another entity.
-
E.
characterStyle
Indicates how a character is visually or typographically presented, such as its font, weight, size, or decorative attributes.
- 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15d61a27881909faed490d2b65f39 |
completed | April 29, 2026, 1:22 a.m. |
| PD | Predicate disambiguation | batch_69ee625e3b408190a60c759fb0b28fe2 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:50 p.m.