Triple
T5538875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Education of Henry Adams |
E145236
|
entity |
| Predicate | firstPublicEditionDate |
P18405
|
FINISHED |
| Object | 1918 |
—
|
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: 1918 | Statement: [The Education of Henry Adams, firstPublicEditionDate, 1918]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPublicEditionDate Context triple: [The Education of Henry Adams, firstPublicEditionDate, 1918]
-
A.
firstBookPublicationDate
Indicates the calendar date on which an entity’s first book was officially published.
-
B.
firstCompletePublicationYear
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.
firstEditionPublicationYear
chosen
Indicates the year in which an entity’s first edition was originally published.
-
E.
firstPublicationPeriod
Indicates the time span during which something was first published or initially made publicly available.
- 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_69c008fa64888190adae56c8f9ea4031 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fb2fe488190808e02ce5aabb2ad |
completed | March 22, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69c01b0c50e48190a1b03ecd20ca440b |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:35 p.m.