Triple
T10478398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Question Time (BBC TV programme) |
E247105
|
entity |
| Predicate | hasPanelistType |
P6384
|
FINISHED |
| Object | politician |
—
|
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: politician | Statement: [Question Time (BBC TV programme), hasPanelistType, politician]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPanelistType Context triple: [Question Time (BBC TV programme), hasPanelistType, politician]
-
A.
hasPanel
Indicates that one entity includes, is equipped with, or is associated with a panel as a component or feature.
-
B.
hasCommitteeType
Indicates that an entity is associated with a committee of a specified type or classification.
-
C.
participantType
chosen
Indicates the specific role or category that a participant has within a given event, activity, or relationship.
-
D.
supportsParticipantType
Indicates that an entity is compatible with, or designed to work with, a specified type or category of participant.
-
E.
hasJuryType
Indicates that an entity is associated with, or classified by, a specific type or category of jury.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5095a25708190bf34e3ca1491e003 |
completed | April 7, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69d4fb84bafc8190819757b93620508a |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:21 p.m.