Triple
T33593134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yvonne Carmichael |
E860482
|
entity |
| Predicate | networkOfAdaptation |
P179973
|
FINISHED |
| Object | BBC One |
—
|
NE NERFINISHED |
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: BBC One | Statement: [Yvonne Carmichael, networkOfAdaptation, BBC One]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: networkOfAdaptation Context triple: [Yvonne Carmichael, networkOfAdaptation, BBC One]
-
A.
originalNetworkOfAdaptation
Indicates that one entity is the initial or source network from which another entity’s adaptation is derived or developed.
-
B.
networkOfSpecial
Indicates a relationship where one entity is part of, or connected within, a specialized network or system centered around another entity.
-
C.
isNetworkOf
Indicates that one entity functions as a network that connects, supports, or encompasses another entity or set of entities.
-
D.
networkOfAppearance
Indicates a relationship where entities are connected through shared or co-occurring appearances within the same context, medium, or setting.
-
E.
netWork
Indicates a relationship where entities are connected or interact within a shared system, structure, or set of links that enables communication or exchange.
- F. None of above. chosen
Provenance (4 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_69f3497e70e48190951c94d072879bec |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
| PDg | Predicate description generation | batch_69f72920c6208190aa4aba6cb6193109 |
completed | May 3, 2026, 10:53 a.m. |
Created at: May 1, 2026, 1:40 a.m.