Triple
T14800034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I See the Light |
E347880
|
entity |
| Predicate | hasVisualSequence |
P89846
|
FINISHED |
| Object | CGI animated lantern-boat 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: CGI animated lantern-boat sequence | Statement: [I See the Light, hasVisualSequence, CGI animated lantern-boat sequence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVisualSequence Context triple: [I See the Light, hasVisualSequence, CGI animated lantern-boat sequence]
-
A.
hasAnimatedSequences
chosen
Indicates that the subject contains or includes one or more animated sequences.
-
B.
hasVisualCharacter
Indicates that one entity possesses or exhibits a particular visual appearance, style, or graphical characteristic defined by another entity.
-
C.
hasVisualIndicator
Indicates that an entity is associated with some form of visual cue or marker that signals its status, condition, or presence.
-
D.
hasContinuousSequence
Indicates that there exists an unbroken, ordered sequence or range connecting the related entities without gaps.
-
E.
hasOpeningSequenceLocation
Indicates the specific location where the opening sequence of something (such as a film, show, or event) takes place.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd62c36c81909c2993dc7d1a79ea |
completed | April 14, 2026, 11:27 p.m. |
| PD | Predicate disambiguation | batch_69de8c0ef8a4819092d84478b1f56db1 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:31 a.m.