Triple
T4063463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Bird came down the Walk |
E86268
|
entity |
| Predicate | usesPunctuationStyle |
P7604
|
FINISHED |
| Object | dashes characteristic of Emily Dickinson |
—
|
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: dashes characteristic of Emily Dickinson | Statement: [A Bird came down the Walk, usesPunctuationStyle, dashes characteristic of Emily Dickinson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesPunctuationStyle Context triple: [A Bird came down the Walk, usesPunctuationStyle, dashes characteristic of Emily Dickinson]
-
A.
hasPunctuationSystem
Indicates that an entity possesses or employs a system of punctuation marks for structuring written language.
-
B.
punctuation
chosen
Indicates the presence, type, or pattern of punctuation marks used within or between textual elements.
-
C.
titlePunctuation
Indicates that a title includes specific punctuation marks or follows a particular punctuation pattern.
-
D.
usedWithStyle
Indicates that something is employed or applied in conjunction with a particular style or stylistic manner.
-
E.
usesDiacritics
Indicates that the referenced text or linguistic element employs diacritical marks as part of its written form.
- 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_69aed93c69208190a4efac0efe3cd69b |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd0bdea48190805a79515ee92709 |
completed | March 9, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69aef90438908190a005b08ba271eacf |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:38 p.m.