Triple
T31169240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You and Whose Army? |
E794557
|
entity |
| Predicate | isOnSideAOrB |
P171208
|
FINISHED |
| Object | album track (not a single side) |
—
|
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: album track (not a single side) | Statement: [You and Whose Army?, isOnSideAOrB, album track (not a single side)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOnSideAOrB Context triple: [You and Whose Army?, isOnSideAOrB, album track (not a single side)]
-
A.
isBSideOf
Indicates that one entity is located on the B side or secondary face of another entity, typically in a two-sided or dual-orientation context.
-
B.
isOnLoopSide
Indicates that one entity is located on the side or segment of a loop structure relative to another reference point or element.
-
C.
wasOnSideOf
Indicates that one entity supported, aligned with, or took the same side as another entity in a conflict, dispute, or opposing situation.
-
D.
singleAorBside
Indicates that exactly one of the two related entities is on side A or side B, but not both simultaneously.
-
E.
nearSideOrFarSide
Indicates that one entity is located on either the near side or the far side of another reference point or object, distinguishing relative positional sides.
- 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_69f224d5b9708190b6ca79ad2fd3a28a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c6f01e881908fa84f5d429d37ae |
completed | May 3, 2026, 12:53 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
| PDg | Predicate description generation | batch_69f69c2127088190ae92c72461576d3b |
completed | May 3, 2026, 12:51 a.m. |
Created at: April 29, 2026, 9:07 p.m.