Triple
T7488129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oliver Hardy |
E176932
|
entity |
| Predicate | imprintedOn |
P76527
|
FINISHED |
| Object | Hollywood comedy |
—
|
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: Hollywood comedy | Statement: [Oliver Hardy, imprintedOn, Hollywood comedy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imprintedOn Context triple: [Oliver Hardy, imprintedOn, Hollywood comedy]
-
A.
imprintsOn
Indicates that one entity forms a strong, often instinctive or formative attachment or bond to another, typically as a primary reference or guide.
-
B.
hadImprint
Indicates that one entity bears or once bore a physical or symbolic mark, stamp, or impression produced by another entity.
-
C.
printedOn
Indicates that something is produced or reproduced in physical form on a specified material, surface, or medium.
-
D.
associatedLabelOrImprint
Indicates a relationship where one entity serves as the label or imprint formally linked to, or published in association with, another entity.
-
E.
inscribedOn
Indicates that text, symbols, or markings are written or carved onto the surface of an object.
- 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_69c69f24ac508190bb98fe927c0bd065 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f55965ac81909d3c3a5422b22d44 |
completed | March 27, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69c6f03eeaa88190a5215772ed05ee9f |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f105e320819091db3cdb1f1351f0 |
completed | March 27, 2026, 9:05 p.m. |
Created at: March 27, 2026, 3:43 p.m.