Triple
T12196836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John "Wonko the Sane" Watson |
E290608
|
entity |
| Predicate | appearsInBookNumber |
P104268
|
FINISHED |
| Object | fourth book of The Hitchhiker's Guide to the Galaxy series |
—
|
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: fourth book of The Hitchhiker's Guide to the Galaxy series | Statement: [John "Wonko the Sane" Watson, appearsInBookNumber, fourth book of The Hitchhiker's Guide to the Galaxy series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInBookNumber Context triple: [John "Wonko the Sane" Watson, appearsInBookNumber, fourth book of The Hitchhiker's Guide to the Galaxy series]
-
A.
appearsIn
Indicates that an entity is present, featured, or occurs within a particular context, work, or medium.
-
B.
numberInAnthology
Indicates the specific position or sequence number that a work occupies within an anthology.
-
C.
chapterNumber
Indicates the specific ordinal position a chapter occupies within a larger ordered work, such as a book or document.
-
D.
book1Contains
Indicates that one book includes, encloses, or has as part of its content another specified element or section.
-
E.
includedInBook
Indicates that something (such as a section, chapter, or content item) is contained within or forms part of a specific book.
- F. None of above. chosen
Provenance (4 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d938cd2edc8190b1971349dbc0dee0 |
completed | April 10, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69d91c38321c819080d500d0d64a04f6 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d938ca32908190bd56f563efcbe8a0 |
completed | April 10, 2026, 5:52 p.m. |
Created at: April 8, 2026, 9:50 p.m.