Triple
T26414431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Woj Pod |
E664045
|
entity |
| Predicate | basedOnRoleOfHost |
P39913
|
FINISHED |
| Object | NBA insider coverage |
—
|
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: NBA insider coverage | Statement: [The Woj Pod, basedOnRoleOfHost, NBA insider coverage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnRoleOfHost Context triple: [The Woj Pod, basedOnRoleOfHost, NBA insider coverage]
-
A.
roleOfHost
chosen
Indicates that an entity serves as the host in relation to another entity, event, or interaction.
-
B.
qualifiedAsHost
Indicates that an entity has met the necessary criteria or standards to serve in the role of a host.
-
C.
mayBeHostedBy
Indicates that an entity has the possibility or option of being hosted or accommodated by another entity.
-
D.
usesHost
Indicates that one entity makes use of another entity as its host or hosting environment in order to function, operate, or reside.
-
E.
basedOnNetwork
Indicates that something is determined, derived, or operates according to a particular network or network-related characteristics.
- 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_69ee883a04ec81908883c4559f8c7e24 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 26, 2026, 11:40 p.m.