Triple
T20280229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klaatu barada nikto |
E503118
|
entity |
| Predicate | distributionContext |
P90439
|
FINISHED |
| Object | 20th Century Fox film |
—
|
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: 20th Century Fox film | Statement: [Klaatu barada nikto, distributionContext, 20th Century Fox film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distributionContext Context triple: [Klaatu barada nikto, distributionContext, 20th Century Fox film]
-
A.
distributedByContext
Indicates that an item, resource, or information is allocated or delivered according to a specific situational context or conditions.
-
B.
distributorContext
chosen
Indicates the contextual relationship in which a distributor operates or is relevant to a particular entity, transaction, or scenario.
-
C.
distributionBy
Indicates how something is allocated, arranged, or spread according to a specified criterion or grouping.
-
D.
distribution
Indicates the act or pattern of giving, delivering, or spreading something from one source to multiple recipients or locations.
-
E.
distributionHub
Indicates a location or facility that serves as a central point for receiving, sorting, and redistributing goods or resources to multiple destinations.
- 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.