Triple
T1438664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malory Towers |
E31016
|
entity |
| Predicate | firstPublicationPeriod |
P29318
|
FINISHED |
| Object | 1940s |
—
|
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: 1940s | Statement: [Malory Towers, firstPublicationPeriod, 1940s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPublicationPeriod Context triple: [Malory Towers, firstPublicationPeriod, 1940s]
-
A.
publicationPeriod
Indicates the span of time during which something is published, active in publication, or valid as a published work.
-
B.
firstPartPublicationYear
Indicates the year in which the first part or installment of a multi-part publication was released.
-
C.
initialPublication
Indicates the relationship in which a work is first formally published or made publicly available.
-
D.
firstPublicationContext
Indicates the original context or setting (such as venue, medium, or circumstance) in which something was first published.
-
E.
firstEditionPublicationYear
Indicates the year in which an entity’s first edition was originally published.
- 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_69a4991633388190a4d61b5a98aa407a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c5ff8dbc81909eafcfc9f2260a22 |
completed | March 1, 2026, 11:04 p.m. |
| PD | Predicate disambiguation | batch_69a4c478f65481909ee716791c663491 |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c5fd2c5c81909283b7a74aff89b7 |
completed | March 1, 2026, 11:04 p.m. |
Created at: March 1, 2026, 8 p.m.