Triple
T15627053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Royale hotel |
E375703
|
entity |
| Predicate | hasOnscreenRepresentation |
P103
|
FINISHED |
| Object | constructed film set |
—
|
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: constructed film set | Statement: [El Royale hotel, hasOnscreenRepresentation, constructed film set]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnscreenRepresentation Context triple: [El Royale hotel, hasOnscreenRepresentation, constructed film set]
-
A.
hasOnscreenFunction
Indicates that an entity serves a particular role or performs a specific function when it appears on screen.
-
B.
hasRepresentationIn
chosen
Indicates that one entity is represented, depicted, or encoded within another entity, such as a concept, object, or data structure having a corresponding representation in a specific medium or context.
-
C.
visualDepictionOnScreen
Indicates that one entity is visually shown or rendered on a screen as a depiction of another entity.
-
D.
hasOnScreenDynamic
Indicates that one entity displays or presents another entity as a changing or interactive element on a screen.
-
E.
hasScreen
Indicates that an entity is equipped with or includes a screen or display component.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9e5e248190ae54cda1fde51efb |
completed | April 16, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69deda868d4481908f4bce1c64d2902a |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:14 a.m.