Triple
T38212956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Guernsey Literary and Potato Peel Pie Society |
E1010604
|
entity |
| Predicate | literarySettingYear |
P192341
|
FINISHED |
| Object | 1946 |
—
|
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: 1946 | Statement: [The Guernsey Literary and Potato Peel Pie Society, literarySettingYear, 1946]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: literarySettingYear Context triple: [The Guernsey Literary and Potato Peel Pie Society, literarySettingYear, 1946]
-
A.
hasLiterarySetting
Indicates that a literary work is set in, or primarily takes place within, a particular location or environment.
-
B.
workOfFictionSetting
Indicates that a work of fiction is set in, or primarily takes place within, a particular location, time, or environment.
-
C.
firstWellKnownLiteraryVersionYear
Indicates the year in which the first well-known literary version of something (such as a story, character, or motif) was published or recorded.
-
D.
yearLit
Indicates the year in which something was illuminated, lit, or first had lighting installed or activated.
-
E.
literaryPeriodOfWork
Indicates the literary period or movement to which a particular work belongs.
- 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_69f76dcdc7708190a5f1751d53f40ffe |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd05ba6b2c81909c62b46237d10365 |
completed | May 7, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69fd03039e48819082b6e12c5453885a |
completed | May 7, 2026, 9:24 p.m. |
| PDg | Predicate description generation | batch_69fd05b965608190a3666410b9f8e125 |
completed | May 7, 2026, 9:35 p.m. |
Created at: May 3, 2026, 4:30 p.m.