Triple
T8717160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musca |
E206923
|
entity |
| Predicate | firstPublishedOnGlobeInYear |
P60473
|
FINISHED |
| Object | 1597 |
—
|
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: 1597 | Statement: [Musca, firstPublishedOnGlobeInYear, 1597]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPublishedOnGlobeInYear Context triple: [Musca, firstPublishedOnGlobeInYear, 1597]
-
A.
firstPublishedInWorkYear
chosen
Indicates the year in which a work was first published.
-
B.
firstCompletePublicationYear
Indicates the calendar year in which an entity’s first complete publication was released.
-
C.
firstAssociatedPublicationYear
Indicates the calendar year in which an entity’s earliest associated publication was first released or made publicly available.
-
D.
firstStandardPublicationYear
Indicates the year in which an entity’s work was first formally published according to a recognized standard or official publication record.
-
E.
firstAppearedAt
Indicates the point in time or specific event at which an entity was first introduced, observed, or became known.
- 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_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5cd9c2a08190a65ab0ce573153d2 |
completed | March 31, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69cc456e806c819087e7d66ee737f242 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:36 p.m.