Triple
T35196170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyrics of the Hearthside |
E1016265
|
entity |
| Predicate | hasPoemByTitle |
P32365
|
FINISHED |
| Object | The Colored Soldiers |
—
|
NE NERFINISHED |
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: The Colored Soldiers | Statement: [Lyrics of the Hearthside, hasPoemByTitle, The Colored Soldiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoemByTitle Context triple: [Lyrics of the Hearthside, hasPoemByTitle, The Colored Soldiers]
-
A.
hasPoemTitleReference
Indicates that one entity (such as a work, discussion, or reference) explicitly refers to or cites the title of a poem.
-
B.
containsPoem
Indicates that one entity includes or holds a poem as part of its contents.
-
C.
hasPoeticTitle
Indicates that an entity possesses a title that is poetic in nature, style, or expression.
-
D.
containsPoemsBy
chosen
Indicates that one entity (such as a collection or publication) includes poems authored by another entity.
-
E.
hasPoemType
Indicates that an entity (such as a poem or literary work) is associated with or classified by a specific type or category of poem.
- 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_69f76dde814c8190a71f60d514a424a4 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff4de66ba481908e7184b3cf9d4d2d |
completed | May 9, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69ff4c702a5881909c6684c74807e945 |
completed | May 9, 2026, 3:02 p.m. |
Created at: May 3, 2026, 4:02 p.m.