Triple
T836587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Childe Harold's Pilgrimage |
E18081
|
entity |
| Predicate | firstTwoCantosPublished |
P20967
|
FINISHED |
| Object | 1812 |
—
|
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: 1812 | Statement: [Childe Harold's Pilgrimage, firstTwoCantosPublished, 1812]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstTwoCantosPublished Context triple: [Childe Harold's Pilgrimage, firstTwoCantosPublished, 1812]
-
A.
numberOfPoemsInFirstEdition
Indicates the quantity of poems contained in the first edition of a given work or collection.
-
B.
numberOfCantos
Indicates the total count of cantos associated with a given work or entity.
-
C.
initialPublication
Indicates the relationship in which a work is first formally published or made publicly available.
-
D.
firstPublisher
Indicates that an entity is the original or earliest publisher of another entity (such as a work, edition, or resource).
-
E.
placeOfFirstPublication
Indicates the location where a work was first published or made publicly available.
- F. None of above. chosen
Provenance (4 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_69a49389f44881909a608fb27d89f247 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abcf69888190b342363978273ae2 |
completed | March 1, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69a4aa7c7df881909c539c3ab8ff0367 |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ab9634948190b25ea1b2e34df87d |
completed | March 1, 2026, 9:11 p.m. |
Created at: March 1, 2026, 7:38 p.m.