Triple
T19070054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ovid's Fasti |
E466767
|
entity |
| Predicate | coversMonths |
P6433
|
FINISHED |
| Object | February |
—
|
NE NERFINISHED |
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: February | Statement: [Ovid's Fasti, coversMonths, February]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: February Context triple: [Ovid's Fasti, coversMonths, February]
-
A.
February
chosen
February is the second month of the year in both the Julian and Gregorian calendars, typically having 28 days and 29 in leap years.
-
B.
March
March is a fictional family surname most famously associated with the four sisters in Louisa May Alcott’s novel "Little Women."
-
C.
March
"March" is a critically acclaimed graphic memoir trilogy co-written by civil rights leader John Lewis and Andrew Aydin that chronicles Lewis's experiences in the American civil rights movement.
-
D.
March
"March" is Michael Penn's critically acclaimed 1989 debut album, known for its literate songwriting and the hit single "No Myth."
-
E.
March
March is a common surname of Spanish origin borne by various notable individuals, including Cuban revolutionary Aleida March.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e19caa708190876a2cb06aa0c9cc |
completed | April 20, 2026, 8:19 a.m. |
Created at: April 10, 2026, 12:03 p.m.