Triple
T25149056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fairy Tales Told for Children |
E630018
|
entity |
| Predicate | thirdInstallmentYear |
P87824
|
FINISHED |
| Object | 1837 |
—
|
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: 1837 | Statement: [Fairy Tales Told for Children, thirdInstallmentYear, 1837]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdInstallmentYear Context triple: [Fairy Tales Told for Children, thirdInstallmentYear, 1837]
-
A.
secondInstallmentReleaseYear
Indicates the year in which the second installment of a series or sequence is released.
-
B.
thirdCreationYear
chosen
Indicates the year in which an entity’s third instance, version, or creation in a sequence was produced or came into existence.
-
C.
thirdPetitionYear
Indicates the specific year in which a third petition or formal request in a sequence is made or applies.
-
D.
thirdCompleteSweepYear
Indicates the year in which an entity completes its third full sweep or cycle of a recurring process or activity.
-
E.
thirdShortReleaseYear
Indicates the year in which an entity’s third short-form release (e.g., short film, EP, or similar work) was published or made available.
- 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_69f650c70d7c819093d9a0f005f7c8d5 |
completed | May 2, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 18, 2026, 6:30 a.m.