Triple
T30705097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Act I of The Nutcracker |
E781729
|
entity |
| Predicate | containsNumberedScene |
P47737
|
FINISHED |
| Object | Party Scene |
—
|
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: Party Scene | Statement: [Act I of The Nutcracker, containsNumberedScene, Party Scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsNumberedScene Context triple: [Act I of The Nutcracker, containsNumberedScene, Party Scene]
-
A.
containsScene
chosen
Indicates that one entity (typically a media item or narrative work) includes or features a particular scene as part of its content.
-
B.
numberOfScenes
Indicates the total count of distinct scenes associated with or contained within an entity.
-
C.
isNumbered
Indicates that an entity has been assigned a specific number or position in an ordered sequence.
-
D.
hasCheckpointScene
Indicates that an event, process, or narrative includes a specific checkpoint scene or moment where progress is marked or evaluated.
-
E.
isNumberedSessionOf
Indicates that a specific session is one in a numbered sequence of sessions belonging to a particular event or series.
- 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_69f224abfcf081909492e64d3cc35262 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ff2636e2bc8190bba91eff91431c6e |
completed | May 9, 2026, 12:19 p.m. |
| PD | Predicate disambiguation | batch_69ff25c65be48190868480d94e1c4e89 |
completed | May 9, 2026, 12:17 p.m. |
Created at: April 29, 2026, 8:35 p.m.