Triple
T8208196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sin City |
E191742
|
entity |
| Predicate | popularCultureAppearance |
P16088
|
FINISHED |
| Object | films set in Las Vegas |
—
|
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: films set in Las Vegas | Statement: [Sin City, popularCultureAppearance, films set in Las Vegas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularCultureAppearance Context triple: [Sin City, popularCultureAppearance, films set in Las Vegas]
-
A.
tvShowAppearance
Indicates that an entity appears or participates in a particular television show.
-
B.
notableAppearance
Indicates that an entity is prominently featured or makes a significant appearance in another work, event, or context.
-
C.
inPopularCulture
chosen
Indicates that an entity is referenced, depicted, or otherwise present within works or discussions of popular culture.
-
D.
popularCultureStatus
Indicates the degree to which something is recognized, influential, or prominent within mainstream popular culture.
-
E.
notableAppearanceIn
Indicates that an entity is prominently featured or plays a significant role in a particular work, event, or context.
- 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_69ca82c7f3e08190857bf1fc63b2a10c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb726d26ec8190957da68227f5ce61 |
completed | March 31, 2026, 7:06 a.m. |
| PD | Predicate disambiguation | batch_69cb36ad01ac81909609b15f6a6c8581 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:43 p.m.