Triple
T33198989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narrator (Joseph and the Amazing Technicolor Dreamcoat) |
E849847
|
entity |
| Predicate | connectsScenes |
P163985
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Narrator (Joseph and the Amazing Technicolor Dreamcoat), connectsScenes, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsScenes Context triple: [Narrator (Joseph and the Amazing Technicolor Dreamcoat), connectsScenes, true]
-
A.
connectsSectionsOf
Indicates a relationship where one entity serves as a link or bridge between two or more distinct sections of another entity or structure.
-
B.
sceneAssociation
chosen
Indicates a contextual or thematic relationship linking entities that co-occur or interact within the same scene.
-
C.
connectsZones
Indicates a relationship where one zone is linked or joined to another, allowing interaction, transfer, or continuity between them.
-
D.
showsScene
Indicates that one entity (such as a media item or visual representation) depicts or presents a particular scene.
-
E.
associatedWithKeyScene
Indicates that something is linked or connected to a specific key scene, typically as a relevant element, feature, or reference.
- 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_69f3495efedc8190843a5728089544b9 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff136ed2a881908f713401083970d1 |
completed | May 9, 2026, 10:58 a.m. |
| PD | Predicate disambiguation | batch_69ff10f9e3448190b6cb6ea5a67713c1 |
completed | May 9, 2026, 10:48 a.m. |
Created at: May 1, 2026, 1:29 a.m.