Triple
T32873434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Storm Clouds Cantata used by Alfred Hitchcock |
E840853
|
entity |
| Predicate | filmSequenceType |
P86909
|
FINISHED |
| Object | concert hall sequence |
—
|
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: concert hall sequence | Statement: [The Storm Clouds Cantata used by Alfred Hitchcock, filmSequenceType, concert hall sequence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmSequenceType Context triple: [The Storm Clouds Cantata used by Alfred Hitchcock, filmSequenceType, concert hall sequence]
-
A.
filmSerialType
Indicates the type or category of a film serial to which a particular film or episode belongs.
-
B.
filmSceneType
chosen
Indicates the type or category of a scene within a film, such as its narrative function, style, or setting.
-
C.
filmType
Indicates the specific category or genre that a film belongs to.
-
D.
filmProductionType
Indicates the specific kind or category of production under which a film was made (e.g., feature, short, documentary, TV movie).
-
E.
filmTypeContext
Indicates the contextual relationship between a film and its type or category within a specific classification or usage setting.
- 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_69f349436ee88190b72ee12d0f3f508e |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d16f5cb881908eed141afaaa0b51 |
completed | May 3, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:17 a.m.