Triple
T28520541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Emlyn McCarron |
E721750
|
entity |
| Predicate | mediumOfWorkHeAppearsIn |
P99077
|
FINISHED |
| Object | novella |
—
|
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: novella | Statement: [Dr. Emlyn McCarron, mediumOfWorkHeAppearsIn, novella]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediumOfWorkHeAppearsIn Context triple: [Dr. Emlyn McCarron, mediumOfWorkHeAppearsIn, novella]
-
A.
mediumOfWorkAppearsIn
chosen
Indicates that a particular medium or format is the form in which a work is presented or appears.
-
B.
mediumDepictedIn
Indicates that a particular medium or material is represented, shown, or referenced within another work or depiction.
-
C.
themeOfWorkHeAppearsIn
Indicates that the subject is the thematic focus or central topic of the work in which he appears.
-
D.
mediumOfFame
Indicates the medium, field, or domain through which an entity became famous or gained public recognition.
-
E.
mediumOfExistence
Indicates the medium, environment, or substrate within which an entity exists, manifests, or is realized.
- 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_69f01a5cbcc4819083fb4e723378713e |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f652a492108190b885b955ce147d3c |
completed | May 2, 2026, 7:38 p.m. |
| PD | Predicate disambiguation | batch_69f651aad92c8190b874b3b5f9f64434 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 3:20 a.m.