Triple
T27858222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Brian Hutton |
E704143
|
entity |
| Predicate | inquirySubject |
P146910
|
FINISHED |
| Object | death of weapons expert Dr David Kelly |
—
|
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: death of weapons expert Dr David Kelly | Statement: [Sir Brian Hutton, inquirySubject, death of weapons expert Dr David Kelly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inquirySubject Context triple: [Sir Brian Hutton, inquirySubject, death of weapons expert Dr David Kelly]
-
A.
inquiry
Indicates that one entity seeks information, clarification, or an answer from another through a question or request.
-
B.
titleSubjectOf
Indicates that a title (such as a book, article, or work) is about or primarily concerns a particular subject.
-
C.
inquiryHead
chosen
Indicates a relationship where one entity serves as the primary subject, leader, or focal point of an inquiry or investigation conducted by another entity.
-
D.
subjectOfIntroduction
Indicates that one entity is the topic or focus being introduced by another entity.
-
E.
subjectMatter
Indicates the topic, theme, or content area that something (such as a work, document, or discussion) is about.
- 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_69ef840e614c8190a88cf9638c14a265 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6390ab0dc8190b77eca37e9e7f2d4 |
completed | May 2, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69f6318ae6f08190b3f85f9201046a15 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 6:16 p.m.