Triple
T29890800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Smallest Show on Earth |
E759143
|
entity |
| Predicate | competingCinema |
P177345
|
FINISHED |
| Object | Grand Cinema |
—
|
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: Grand Cinema | Statement: [The Smallest Show on Earth, competingCinema, Grand Cinema]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: competingCinema Context triple: [The Smallest Show on Earth, competingCinema, Grand Cinema]
-
A.
cinemaOf
Indicates a relationship where a cinema is associated with, belongs to, or is located within a particular place, organization, or context.
-
B.
cinemaCategory
Indicates the classification or genre category assigned to a cinema or film.
-
C.
cinemaType
Indicates the specific category or kind of cinema associated with an entity (e.g., multiplex, art house, drive-in).
-
D.
activeInCinema
Indicates that an entity is currently working or participating in the film/cinema industry.
-
E.
filmMarket
Indicates a commercial context in which films are bought, sold, or traded, typically involving distribution, rights, or exhibition deals.
- 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_69f2245f1cf88190978c70d1a1d2cb73 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6fb93224881908fc66fe76115fcdb |
completed | May 3, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fb17d5ec81909091e37e1ddbe577 |
completed | May 3, 2026, 7:36 a.m. |
Created at: April 29, 2026, 6:02 p.m.