Triple
T30639833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Interdependency trilogy |
E779942
|
entity |
| Predicate | finalBookPublicationDate |
P44445
|
FINISHED |
| Object | 2020 |
—
|
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: 2020 | Statement: [The Interdependency trilogy, finalBookPublicationDate, 2020]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalBookPublicationDate Context triple: [The Interdependency trilogy, finalBookPublicationDate, 2020]
-
A.
finalPublicationDate
chosen
Indicates the date on which a work is officially and definitively published in its final form.
-
B.
fullPublicationDate
Indicates the complete calendar date on which something is formally published, including day, month, and year.
-
C.
finalEditionPublicationYear
Indicates the year in which the final edition of a work was published.
-
D.
hasPublicationDate
Indicates that an entity is associated with the specific date on which it was published.
-
E.
firstBookPublicationDate
Indicates the calendar date on which an entity’s first book was officially published.
- 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_69f224a50ebc81909b961a94c7f66b12 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd553d7cb881908d243e7a9f30ac85 |
completed | May 8, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69fd514dcb1c81908333c70d7edd79c9 |
completed | May 8, 2026, 2:58 a.m. |
Created at: April 29, 2026, 8:29 p.m.