Triple
T11553079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Idler |
E273942
|
entity |
| Predicate | collectedInBookForm |
P75974
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [The Idler, collectedInBookForm, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectedInBookForm Context triple: [The Idler, collectedInBookForm, yes]
-
A.
collectedAs
Indicates that one entity has been gathered, acquired, or assembled as part of another entity, such as a collection, set, or group.
-
B.
includedInBook
chosen
Indicates that something (such as a section, chapter, or content item) is contained within or forms part of a specific book.
-
C.
writtenInForm
Indicates that something is expressed, recorded, or composed using a particular format, style, or structural form.
-
D.
collectionFormed
Indicates that multiple items or entities have been gathered and organized together into a defined collection.
-
E.
hasWrittenForm
Indicates that an entity is associated with a specific written or textual representation.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88a85b9ac8190a57c1fdaeacbe3d6 |
completed | April 10, 2026, 5:28 a.m. |
| PD | Predicate disambiguation | batch_69d8087e57b48190a4c253dc0210f9d4 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:37 p.m.