Triple
T25871952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The First Day |
E651781
|
entity |
| Predicate | isInitialInstallmentOf |
P103531
|
FINISHED |
| Object | narrative 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: narrative series | Statement: [The First Day, isInitialInstallmentOf, narrative series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInitialInstallmentOf Context triple: [The First Day, isInitialInstallmentOf, narrative series]
-
A.
isFirstInstallmentOf
chosen
Indicates that one item is the initial part or opening installment in a larger series or sequence of related items.
-
B.
isFinalInstallmentOf
Indicates that one work or item is the concluding or last part in a series, sequence, or collection of related works.
-
C.
hasMainInstallment
Indicates that one entity is the primary or principal installment (e.g., main payment or main part of a series) associated with another entity.
-
D.
hasInstallment
Indicates that one entity is paid for or fulfilled through multiple scheduled installment payments by another entity.
-
E.
numberOfMainInstallments
Indicates the total count of primary or scheduled installments associated with a given agreement, plan, or transaction.
- 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_69e7ab3ad9d88190841ddcb93ab02e96 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f602dd86dc8190b36335017d158398 |
completed | May 2, 2026, 1:57 p.m. |
| PD | Predicate disambiguation | batch_69f4939148dc81908706cec7d85291bc |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 8:11 a.m.