Triple
T14465336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Illuminations |
E358691
|
entity |
| Predicate | firstCompleteBookPublication |
P64200
|
FINISHED |
| Object | 1886 |
—
|
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: 1886 | Statement: [Illuminations, firstCompleteBookPublication, 1886]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCompleteBookPublication Context triple: [Illuminations, firstCompleteBookPublication, 1886]
-
A.
firstCompleteBiblePublicationDate
Indicates the date on which the first complete edition of the Bible associated with an entity was published.
-
B.
firstCompletePublicationYear
chosen
Indicates the calendar year in which an entity’s first complete publication was released.
-
C.
firstPublicationIn
Indicates the initial venue, medium, or context in which a work was first published.
-
D.
firstBookPublicationDate
Indicates the calendar date on which an entity’s first book was officially published.
-
E.
firstVolumesPublished
Indicates that the initial volumes of a multi-volume work have been 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91f6d4c08190a12e9a5901ee3508 |
completed | April 14, 2026, 7:13 p.m. |
| PD | Predicate disambiguation | batch_69de5c42bd3c81909a62acf30cc24d1e |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:19 a.m.