Triple
T25149055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fairy Tales Told for Children |
E630018
|
entity |
| Predicate | secondInstallmentYear |
P55740
|
FINISHED |
| Object | 1836 |
—
|
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: 1836 | Statement: [Fairy Tales Told for Children, secondInstallmentYear, 1836]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondInstallmentYear Context triple: [Fairy Tales Told for Children, secondInstallmentYear, 1836]
-
A.
secondInstallmentReleaseYear
chosen
Indicates the year in which the second installment of a series or sequence is released.
-
B.
secondInstallment
Indicates that one entity is the second payment or part in a sequence of installments related to another entity.
-
C.
secondIssueYear
Indicates the year in which an entity was issued for the second time, such as a second edition, release, or publication.
-
D.
secondPlanStartYear
Indicates the calendar year in which a second or subsequent plan begins.
-
E.
secondSessionStartYear
Indicates the calendar year in which an entity’s second session begins.
- 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_69e2ff349e408190a6f4a5a66279f54d |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 18, 2026, 6:30 a.m.