Triple
T34099230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Best Damn Band in the Land |
E874517
|
entity |
| Predicate | woodwindsIncluded |
P178230
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [The Best Damn Band in the Land, woodwindsIncluded, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: woodwindsIncluded Context triple: [The Best Damn Band in the Land, woodwindsIncluded, no]
-
A.
hasBodyWood
Indicates that an entity’s body is made of or primarily composed of wood.
-
B.
isOutdoorInstrument
Indicates that an instrument is designed or intended to be used outdoors rather than indoors.
-
C.
classifiedInHornbostelSachs
Indicates that something is assigned a category according to the Hornbostel-Sachs musical instrument classification system.
-
D.
hasWood
Indicates that one entity possesses, contains, or is made of wood in relation to another entity or context.
-
E.
columnHasFlutes
Indicates that a column possesses flutes, i.e., vertical grooves or channels along its surface.
- 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_69f349a735208190a1dbfb1c2a121059 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70c6634988190b3fc88269f5611bd |
completed | May 3, 2026, 8:50 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70b94784c8190970d654e066eb50d |
completed | May 3, 2026, 8:47 a.m. |
Created at: May 1, 2026, 1:53 a.m.