Triple
T16779302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seahaven |
E407814
|
entity |
| Predicate | createdForAudience |
P7551
|
FINISHED |
| Object | global television viewers |
—
|
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: global television viewers | Statement: [Seahaven, createdForAudience, global television viewers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: createdForAudience Context triple: [Seahaven, createdForAudience, global television viewers]
-
A.
createdFor
chosen
Indicates that one entity was made, produced, or designed specifically to serve, benefit, or be used by another entity.
-
B.
createdForMedium
Indicates that something was created specifically for use, display, or performance in a particular medium or format.
-
C.
createdForScreenBy
Indicates that something (such as a work, content, or design) was specifically created or adapted for screen-based presentation by a particular creator or entity.
-
D.
createdAround
Indicates that something was brought into existence or produced approximately at a particular time or within an imprecise time period.
-
E.
createdForWorkBy
Indicates that something was created specifically for use in work or professional activities by a particular agent or person.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b21401b881909bbbc7382e851a90 |
completed | April 18, 2026, 4:32 p.m. |
| PD | Predicate disambiguation | batch_69e319cf691c819083e39225f5777ef0 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:22 a.m.