Triple
T29805691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hounds of Love |
E756834
|
entity |
| Predicate | sideAName |
P34740
|
FINISHED |
| Object | Hounds of Love |
—
|
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: Hounds of Love | Statement: [Hounds of Love, sideAName, Hounds of Love]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sideAName Context triple: [Hounds of Love, sideAName, Hounds of Love]
-
A.
sideAStyle
Indicates the stylistic or design characteristics applied specifically to side A of an object or entity in a relationship.
-
B.
sideAContent
Indicates that the content or information pertains specifically to side A of a two-sided entity or relationship.
-
C.
side2
Indicates that an entity is positioned on, associated with, or corresponds to the second side of another entity or structure.
-
D.
A-sideOf
chosen
Indicates that one entity is located on or corresponds to the A-side (first or primary side) of another entity, typically in a two-sided context.
-
E.
sideOneLength
Indicates the length measurement of the first side in a geometric figure or object.
- 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_69f2245584848190ad4cab1f07752ccb |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6752a26788190a157810a0a585268 |
completed | May 2, 2026, 10:05 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 29, 2026, 5:21 p.m.