Triple
T34196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | To Anacreon in Heaven |
E680
|
entity |
| Predicate | firstLine |
P829
|
FINISHED |
| Object | To Anacreon in Heav'n, where he sat in full glee |
—
|
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: To Anacreon in Heav'n, where he sat in full glee | Statement: [To Anacreon in Heaven, firstLine, To Anacreon in Heav'n, where he sat in full glee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstLine Context triple: [To Anacreon in Heaven, firstLine, To Anacreon in Heav'n, where he sat in full glee]
-
A.
openingLine
chosen
Indicates that one entity is the first line or initial statement that begins another entity, such as a text, speech, or conversation.
-
B.
firstArticulatedIn
Indicates the time or context in which something was originally expressed, formulated, or clearly stated for the first time.
-
C.
front
Indicates that one entity is located directly before or facing another entity along a primary viewing or movement direction.
-
D.
servedByLine
Indicates that a transportation stop, station, or location is provided service by a specific transit line.
-
E.
frontType
Indicates the type or category of a front (e.g., boundary or leading side) that one entity presents or forms relative to another.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a2490019948190a89bb0910c60d462 |
completed | Feb. 28, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69a24872e4e481908567850168d65015 |
completed | Feb. 28, 2026, 1:44 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.