Triple
T3088181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hollywood Tower Hotel (The Twilight Zone Tower of Terror) |
E64423
|
entity |
| Predicate | hasQueueMusic |
P36725
|
FINISHED |
| Object | 1930s jazz and big band music |
—
|
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: 1930s jazz and big band music | Statement: [The Hollywood Tower Hotel (The Twilight Zone Tower of Terror), hasQueueMusic, 1930s jazz and big band music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasQueueMusic Context triple: [The Hollywood Tower Hotel (The Twilight Zone Tower of Terror), hasQueueMusic, 1930s jazz and big band music]
-
A.
hasQueue
Indicates that an entity maintains or is associated with a queue, typically representing an ordered list of items or tasks awaiting processing.
-
B.
hasQueueEntertainment
chosen
Indicates that an entity provides or features entertainment specifically for people waiting in a queue.
-
C.
hasMusicCharacteristic
Indicates that an entity possesses a specific musical feature, quality, or attribute.
-
D.
hasCommonMusic
Indicates that two entities share at least one piece of music preference, interest, or item in common.
-
E.
hasMusical
Indicates that one entity features, includes, or is associated with a musical work, performance, or musical 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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada209fd24819088d887de0a4158f4 |
completed | March 8, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69ad9ded78f881908be6fc0fb7c35764 |
completed | March 8, 2026, 4:03 p.m. |
Created at: March 8, 2026, 3:03 p.m.