Triple
T13852616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samantha Gwendoline Sheffield |
E332980
|
entity |
| Predicate | hasGivenPublicInterviewsOn |
P76434
|
FINISHED |
| Object | family life at 10 Downing Street |
—
|
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: family life at 10 Downing Street | Statement: [Samantha Gwendoline Sheffield, hasGivenPublicInterviewsOn, family life at 10 Downing Street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGivenPublicInterviewsOn Context triple: [Samantha Gwendoline Sheffield, hasGivenPublicInterviewsOn, family life at 10 Downing Street]
-
A.
hasGivenInterviewsIn
Indicates that an entity has conducted or participated in interviews within a specified place or context.
-
B.
gaveInterviewsAbout
chosen
Indicates that an entity conducted interviews whose subject or topic was another specified entity.
-
C.
hasGivenNumberOfInterviewsAbout
Indicates that an entity has conducted or participated in a specified number of interviews concerning another entity or topic.
-
D.
hasInterviews
Indicates that one entity conducts, contains, or is associated with interviews involving another entity.
-
E.
usesInterviews
Indicates that one entity employs interviews as a method or tool in relation to another entity or process.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02da9460819093a3ec5a3c62ea81 |
completed | April 14, 2026, 9:03 a.m. |
| PD | Predicate disambiguation | batch_69dbc8691b608190a25a7c70a366b170 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:14 p.m.