Triple
T24907882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Among Sequels |
E623762
|
entity |
| Predicate | isFifthInSeries |
P29161
|
FINISHED |
| Object | Thursday Next series |
—
|
NE NERFINISHED |
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: Thursday Next series | Statement: [First Among Sequels, isFifthInSeries, Thursday Next series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFifthInSeries Context triple: [First Among Sequels, isFifthInSeries, Thursday Next series]
-
A.
fifthInstallmentReleaseYear
Indicates the calendar year in which the fifth installment of a series was released.
-
B.
isThirdInSeries
Indicates that an entity occupies the third position within an ordered sequence or series of related items.
-
C.
fifthEditionYear
Indicates the year in which the fifth edition of something (e.g., a work, product, or event) was released or took place.
-
D.
hasFifthTerm
chosen
Indicates that an ordered sequence or series possesses a defined fifth element or term.
-
E.
partOfFranchiseInstallment
Indicates that one work is an installment belonging to a larger franchise or series.
- 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_69e2fac797cc8190b30d77f4121099ac |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f4236c86c08190ae6b0c8738febe69 |
completed | May 1, 2026, 3:52 a.m. |
| PD | Predicate disambiguation | batch_69f4210130d08190ae30b7943f7a0bbc |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:27 a.m.