Triple
T21496664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Song of the Banner at Daybreak |
E530372
|
entity |
| Predicate | hasTitleWord |
P3254
|
FINISHED |
| Object | Banner |
—
|
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: Banner | Statement: [Song of the Banner at Daybreak, hasTitleWord, Banner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banner Context triple: [Song of the Banner at Daybreak, hasTitleWord, Banner]
-
A.
Banner
chosen
Banner is a symbolic character in Walt Whitman’s poem “Song of the Banner at Daybreak,” embodying themes of patriotism, war, and national identity.
-
B.
Banner Graphic
Banner Graphic is a local newspaper serving the community of Greencastle, Indiana.
-
C.
Banner Blue
Banner Blue was a prominent named passenger train operated by the Wabash Railroad in the mid-20th century, known for providing streamlined service in the American Midwest.
-
D.
Placard
Placard is a Portuguese sports betting brand that serves as a major sponsor of national football competitions.
-
E.
Brandbu
Brandbu is a village in Gran Municipality in Innlandet county, Norway, known as a local commercial and service center in the Hadeland district.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c45bd15481909fba5910765cdda2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea582d9c8190b95ff6e1b8179b81 |
completed | April 23, 2026, 9:46 a.m. |
Created at: April 16, 2026, 6:23 p.m.