Triple
T15308970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Six Degrees of Kevin Bacon |
E365977
|
entity |
| Predicate | hasPrimaryConcept |
P49381
|
FINISHED |
| Object | any actor can be linked to Kevin Bacon through film roles |
—
|
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: any actor can be linked to Kevin Bacon through film roles | Statement: [Six Degrees of Kevin Bacon, hasPrimaryConcept, any actor can be linked to Kevin Bacon through film roles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryConcept Context triple: [Six Degrees of Kevin Bacon, hasPrimaryConcept, any actor can be linked to Kevin Bacon through film roles]
-
A.
hasConcept
Indicates that an entity includes, embodies, or is associated with a particular concept.
-
B.
hasPrimarySubject
Indicates that an entity is the main or principal subject associated with another entity or resource.
-
C.
hasPrimaryConstituent
Indicates that one entity serves as the main or principal component, ingredient, or element of another entity.
-
D.
hasPrimary
Indicates that one entity is designated as the main or most important instance (the primary) in relation to another entity.
-
E.
primaryConcept
chosen
Indicates that one concept is the main or central idea in relation to another concept 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd176708190b0f6ba17aed92f8e |
completed | April 16, 2026, 1:35 a.m. |
| PD | Predicate disambiguation | batch_69deca935e2c8190b640987ddfc542b9 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:16 a.m.