Triple
T33596872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Productions |
E860591
|
entity |
| Predicate | bodyguardOriginalNetwork |
P177438
|
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: [World Productions, bodyguardOriginalNetwork, BBC One]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bodyguardOriginalNetwork Context triple: [World Productions, bodyguardOriginalNetwork, BBC One]
-
A.
bodyguardType
Indicates the specific role or category of bodyguard service associated with an entity.
-
B.
leadActorPlaysBodyguard
Indicates that the lead actor portrays the role of a bodyguard.
-
C.
guardian
Indicates a protective or custodial relationship in which one entity is responsible for the care, safety, or oversight of another.
-
D.
guardianInPlot
Indicates that one entity serves as a guardian or protector of another entity within the context of a specific plot or storyline.
-
E.
protagonistProtected
Indicates that one entity acts to keep the protagonist safe from harm, danger, or adverse consequences.
- 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_69f3497f35908190a2e9bbb9b96c7a3f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb93224881908fc66fe76115fcdb |
completed | May 3, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fb17d5ec81909091e37e1ddbe577 |
completed | May 3, 2026, 7:36 a.m. |
Created at: May 1, 2026, 1:41 a.m.