Triple
T11671372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Fool's Alphabet |
E277387
|
entity |
| Predicate | alphabetDevice |
P20857
|
FINISHED |
| Object | chapters correspond to letters A to Z |
—
|
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: chapters correspond to letters A to Z | Statement: [A Fool's Alphabet, alphabetDevice, chapters correspond to letters A to Z]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alphabetDevice Context triple: [A Fool's Alphabet, alphabetDevice, chapters correspond to letters A to Z]
-
A.
alphabetType
Indicates the type or classification of an alphabet used by a writing system or language.
-
B.
alphabet
chosen
Indicates that one entity is an alphabet or set of symbols used for representing elements (such as characters or tokens) in relation to another entity.
-
C.
characteristicDevice
Indicates that a device is a defining or typical instrument, tool, or equipment associated with a particular entity, context, or activity.
-
D.
lyricDevice
Indicates a relationship where a lyrical technique or stylistic device is employed within or by a piece of text, such as a song or poem.
-
E.
device
Indicates that one entity is a device used, controlled, or referenced by another entity in the relationship.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a44264c08190ba1a4a5bcdc9367b |
completed | April 10, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69d88a77e6e88190b7519100bde76575 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:40 p.m.