Triple
T14874496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cozi TV |
E349829
|
entity |
| Predicate | contentEraFocus |
P53888
|
FINISHED |
| Object | mid-20th century American television |
—
|
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: mid-20th century American television | Statement: [Cozi TV, contentEraFocus, mid-20th century American television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contentEraFocus Context triple: [Cozi TV, contentEraFocus, mid-20th century American television]
-
A.
curatesContentFrom
Indicates that one entity selects, organizes, and presents content that originates from another entity.
-
B.
creativeWorkFocus
Indicates that one entity is the primary subject, theme, or focal point of another entity’s creative work.
-
C.
categoryFocus
chosen
Indicates that one entity is the primary subject, theme, or focal point within the broader category defined by the other entity.
-
D.
targetAudienceEra
Indicates the historical period or era for which something (such as a work, product, or message) is primarily intended or designed as its audience.
-
E.
discoveryEra
Indicates the historical period or era during which the entity was discovered or first identified.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e3e5d48190a132f2cf012b01e2 |
completed | April 15, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69de8c1a2bcc81908f914e2e2ced65eb |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:55 a.m.