Triple
T6100272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CBS Studio Center |
E135975
|
entity |
| Predicate | numberOfSoundStages |
P55409
|
FINISHED |
| Object | 18 |
—
|
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: 18 | Statement: [CBS Studio Center, numberOfSoundStages, 18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSoundStages Context triple: [CBS Studio Center, numberOfSoundStages, 18]
-
A.
hasSoundStages
chosen
Indicates that one entity possesses, contains, or is equipped with sound stages used for audio and film/TV production.
-
B.
isSoundFilm
Indicates that a film includes synchronized recorded sound as an integral part of its presentation, rather than being a silent film.
-
C.
numberOfFilmScores
Indicates the total count of film scores that an entity has composed or is credited with.
-
D.
sangSoundtrackFor
Indicates that one entity performed or recorded the soundtrack music for a work associated with another entity.
-
E.
numberOfStages
Indicates the total count of distinct stages or phases associated with a given process, event, or entity.
- 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b3970808190ba90f5e4235db9f2 |
completed | March 22, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69c049f5ac988190b62ba565153aaa35 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:13 p.m.