Triple
T13057878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hollywood Hills Amphitheater (Disney's Hollywood Studios) |
E327623
|
entity |
| Predicate | lightingDesignFor |
P108239
|
FINISHED |
| Object | water screens and projections |
—
|
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: water screens and projections | Statement: [Hollywood Hills Amphitheater (Disney's Hollywood Studios), lightingDesignFor, water screens and projections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lightingDesignFor Context triple: [Hollywood Hills Amphitheater (Disney's Hollywood Studios), lightingDesignFor, water screens and projections]
-
A.
featuresLightingBy
Indicates that something includes or showcases lighting created, provided, or designed by a specified entity.
-
B.
lightingRequirement
Indicates the level or type of light that is needed for something to function, grow, or be used properly.
-
C.
lightingDesigner
Indicates that an entity is responsible for planning, creating, or supervising the lighting design for a production, event, or environment.
-
D.
designLuminosity
Indicates the specified luminosity level or brightness characteristics that something is designed or intended to have.
-
E.
lightingRecommended
Indicates that a particular lighting setup or condition is advised as suitable or optimal for a given context or use.
- F. None of above. chosen
Provenance (4 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980e7ee548190b4b18bdb1357c359 |
completed | April 10, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69d9803d46688190bac6b7d208f08d01 |
completed | April 10, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d980e622e8819087a69bfb1660dd64 |
completed | April 10, 2026, 10:59 p.m. |
Created at: April 9, 2026, 8:58 p.m.