Triple
T27817514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mystery of Edwin Drood |
E702714
|
entity |
| Predicate | questionAtIssue |
P13891
|
FINISHED |
| Object | whether Edwin Drood was murdered |
—
|
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: whether Edwin Drood was murdered | Statement: [The Mystery of Edwin Drood, questionAtIssue, whether Edwin Drood was murdered]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: questionAtIssue Context triple: [The Mystery of Edwin Drood, questionAtIssue, whether Edwin Drood was murdered]
-
A.
questionText
Indicates the textual content of a question as it is posed or displayed.
-
B.
questionPresented
Indicates that a question has been posed or displayed to an entity for consideration or response.
-
C.
raisesQuestion
chosen
Indicates that one entity causes or prompts a question or doubt to arise about another entity or topic.
-
D.
questionFormulation
Indicates that one entity formulates, poses, or expresses a question directed toward another entity or context.
-
E.
questionTopic
Indicates that a question is about, concerns, or is primarily focused on a particular topic or subject.
- 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_69ef840ad1e88190b5bff2d1ddec8700 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6386bdaac819099c2623f898dc26e |
completed | May 2, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69f6318ae6f08190b3f85f9201046a15 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 5:46 p.m.