Triple
T22095826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Hood |
E546027
|
entity |
| Predicate | hasMediumOfAppearance |
P69876
|
FINISHED |
| Object | cinema |
—
|
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: cinema | Statement: [Ken Hood, hasMediumOfAppearance, cinema]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMediumOfAppearance Context triple: [Ken Hood, hasMediumOfAppearance, cinema]
-
A.
hasMediaAppearanceIn
chosen
Indicates that an entity appears or is featured as media content within a specified media work, program, or publication.
-
B.
hasAssociatedMedium
Indicates that one entity is linked to another entity that serves as its medium, format, or channel of expression or transmission.
-
C.
hasPublicationMedium
Indicates the medium or channel through which a work or publication is disseminated or made available.
-
D.
hasAlternativeMedium
Indicates that an entity is available, expressed, or presented in another medium or format as an alternative to its primary one.
-
E.
occursInMedium
Indicates that an event, process, or interaction takes place within or is hosted by a particular medium or environment.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e8f1f48190a5f1d9e96a6de688 |
completed | April 28, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69e71b20ec50819096ac196c798f8e3c |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:29 p.m.