Triple
T15624125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Remembrance of Earth’s Past trilogy |
E375636
|
entity |
| Predicate | firstBookEnglishPublicationYear |
P119472
|
FINISHED |
| Object | 2014 |
—
|
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: 2014 | Statement: [Remembrance of Earth’s Past trilogy, firstBookEnglishPublicationYear, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstBookEnglishPublicationYear Context triple: [Remembrance of Earth’s Past trilogy, firstBookEnglishPublicationYear, 2014]
-
A.
firstBookPublicationDate
Indicates the calendar date on which an entity’s first book was officially published.
-
B.
firstPublishedInWorkYear
Indicates the year in which a work was first published.
-
C.
firstEditionPublicationYear
Indicates the year in which an entity’s first edition was originally published.
-
D.
firstCompletePublicationYear
Indicates the calendar year in which an entity’s first complete publication was released.
-
E.
firstUKPublicationYear
Indicates the year in which an entity was first published in the United Kingdom.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9cfd94819091459aa17a002eaf |
completed | April 16, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69deda868d4481908f4bce1c64d2902a |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f3016c8190ac68d76e65e07af4 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:14 a.m.