Triple
T20818126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Stanley Hotel |
E512497
|
entity |
| Predicate | Room217Significance |
P141948
|
FINISHED |
| Object | room where Stephen King reportedly stayed |
—
|
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: room where Stephen King reportedly stayed | Statement: [The Stanley Hotel, Room217Significance, room where Stephen King reportedly stayed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Room217Significance Context triple: [The Stanley Hotel, Room217Significance, room where Stephen King reportedly stayed]
-
A.
containsSecretRoomCount
Indicates that an entity has a specified number of secret rooms contained within it.
-
B.
containsTreasureRoom
Indicates that an entity includes or encompasses a room designated as a treasure room within its structure or area.
-
C.
numberOfSealingRooms
Indicates the quantity of sealing rooms associated with or contained within a given entity.
-
D.
midnightSignificance
Indicates the special meaning, importance, or notable events associated with the time of midnight in a given context.
-
E.
roomNumberAssociatedWithAssassination
Indicates that a specific room number is linked to, or identified as being involved in, an assassination event.
- 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2f429388190809dd532278fe310 |
completed | April 21, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_69e5c99ca55481908e8d434fa901cfd6 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53c4d6881909b4d0a716fa5ed4a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:41 p.m.