Triple
T20685946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Recuyell of the Historyes of Troye |
E508416
|
entity |
| Predicate | approximateDateOfFirstPrinting |
P141043
|
FINISHED |
| Object | c. 1473 |
—
|
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: c. 1473 | Statement: [The Recuyell of the Historyes of Troye, approximateDateOfFirstPrinting, c. 1473]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateDateOfFirstPrinting Context triple: [The Recuyell of the Historyes of Troye, approximateDateOfFirstPrinting, c. 1473]
-
A.
printedFirstEditionOf
Indicates that the subject entity produced and issued the initial published edition of the object entity.
-
B.
firstBookPublicationDate
Indicates the calendar date on which an entity’s first book was officially published.
-
C.
firstQuartoPublicationDate
Indicates the calendar date on which the first edition of a work was published in quarto format.
-
D.
firstEditionPublicationYear
Indicates the year in which an entity’s first edition was originally published.
-
E.
inceptionOfEdition
Indicates the event or point in time at which a particular edition of a work is first created, initiated, or brought into existence.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6beacc30081908e57cd7f2c3ef047 |
completed | April 21, 2026, 12:02 a.m. |
| PD | Predicate disambiguation | batch_69e5c03caee881908be4dd25796a03d5 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3caef50819093c8159fe8d6435b |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 11:45 a.m.