Triple
T8580270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odeon Cinemas |
E203154
|
entity |
| Predicate | showsContentType |
P16209
|
FINISHED |
| Object | feature films |
—
|
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: feature films | Statement: [Odeon Cinemas, showsContentType, feature films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showsContentType Context triple: [Odeon Cinemas, showsContentType, feature films]
-
A.
showType
Indicates the category or format in which something is presented or displayed (e.g., type of show, presentation, or display mode).
-
B.
featuredContentType
Indicates the specific type or category of content that is highlighted or promoted as featured.
-
C.
offersContentType
chosen
Indicates that one entity provides or makes available content of a specified type to another entity or context.
-
D.
mainContentType
Indicates the primary type or category of content associated with an entity or resource.
-
E.
broadcastsContentType
Indicates that an entity (such as a broadcaster or channel) transmits or distributes content of a specified type.
- 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_69ca8328ebe481909a8c038fa79959b4 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbeb1a026c819089183f542eeb7837 |
completed | March 31, 2026, 3:41 p.m. |
| PD | Predicate disambiguation | batch_69cbd11b13108190b07f8f161425a585 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:22 p.m.