Triple
T28471962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carthay Circle Theatre |
E720461
|
entity |
| Predicate | openingFilm |
P88814
|
FINISHED |
| Object | The Volga Boatman |
—
|
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: The Volga Boatman | Statement: [Carthay Circle Theatre, openingFilm, The Volga Boatman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingFilm Context triple: [Carthay Circle Theatre, openingFilm, The Volga Boatman]
-
A.
opensFilm
chosen
Indicates that one entity is the opening film of another entity, such as a festival, series, or program.
-
B.
openingTrackOfFilm
Indicates that a musical track serves as the first or introductory piece in the soundtrack of a specified film.
-
C.
openedAsTheater
Indicates that an entity began operation or was first established specifically as a theater.
-
D.
openingTo
Indicates that one entity serves as an entrance, access point, or passage leading into or toward another entity.
-
E.
filmSelection
Indicates the act or result of choosing a particular film from a set of available options.
- 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_69f01a5983f48190b7c1b8857245a4f7 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 28, 2026, 2:49 a.m.