Triple
T20280234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klaatu barada nikto |
E503118
|
entity |
| Predicate | popCultureImpact |
P16088
|
FINISHED |
| Object | symbol of classic alien visitation stories |
—
|
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: symbol of classic alien visitation stories | Statement: [Klaatu barada nikto, popCultureImpact, symbol of classic alien visitation stories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popCultureImpact Context triple: [Klaatu barada nikto, popCultureImpact, symbol of classic alien visitation stories]
-
A.
inPopularCulture
chosen
Indicates that an entity is referenced, depicted, or otherwise present within works or discussions of popular culture.
-
B.
hasCulturalImpact
Indicates that one entity has influenced, shaped, or significantly affected the culture, values, practices, or artistic expressions of another.
-
C.
popularCultureStatus
Indicates the degree to which something is recognized, influential, or prominent within mainstream popular culture.
-
D.
cinemaInfluence
Indicates how one entity affects or shapes another through the medium of cinema, such as films, filmmaking, or cinematic culture.
-
E.
popularFilmIndustry
Indicates that an entity has a widely recognized and well-liked film industry that attracts significant audience interest and attention.
- 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_69e0b4b0e79c8190bd61f22ef1329fa8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6768ddfd0819098b2cc7fed0f4fe2 |
completed | April 20, 2026, 6:55 p.m. |
| PD | Predicate disambiguation | batch_69e55b1e5e1c8190ba8a5544b1db9e1d |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 16, 2026, 10:36 a.m.