Triple
T7996057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pilgrimage |
E186126
|
entity |
| Predicate | hasVerseOpeningTheme |
P27129
|
FINISHED |
| Object | description of the Hour |
—
|
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: description of the Hour | Statement: [The Pilgrimage, hasVerseOpeningTheme, description of the Hour]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVerseOpeningTheme Context triple: [The Pilgrimage, hasVerseOpeningTheme, description of the Hour]
-
A.
hasThemeSong
Indicates that an entity is associated with or characterized by a particular theme song.
-
B.
openingVerseTheme
chosen
Indicates the primary idea or motif expressed in the opening verse of a text, song, or poem.
-
C.
hasLyricalTheme
Indicates that one entity (typically a creative work) features or is characterized by a particular lyrical subject, topic, or theme.
-
D.
hasOpeningThemeStyle
Indicates that an entity’s opening theme follows or is characterized by a particular musical or stylistic genre or format.
-
E.
hasOpeningVerseMeaning
Indicates that something (such as a text, song, or poem) possesses an opening verse that conveys a particular meaning or message.
- 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_69ca829c6c308190ab05b43d234c52b2 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c97968481908d261b3f0bd6b8e6 |
completed | March 31, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69cb0483d3b48190b250c7603d747bca |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:17 p.m.