Triple
T9716674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janus |
E235159
|
entity |
| Predicate | monthNamedAfter |
P52789
|
FINISHED |
| Object | January |
—
|
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: January | Statement: [Janus, monthNamedAfter, January]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monthNamedAfter Context triple: [Janus, monthNamedAfter, January]
-
A.
monthName2
Indicates that two entities are associated as the same calendar month, where one provides the month’s name and the other represents that month in another form (such as a number or date).
-
B.
monthObserved
Indicates the month during which an event, observation, or measurement took place.
-
C.
themeOfMonthNames
Indicates that something serves as the subject, topic, or focus associated with a particular month name or set of month names.
-
D.
calendarMonthNameOrigin
chosen
Indicates the historical or cultural source from which a calendar month’s name is derived.
-
E.
monthName12
Indicates that the referenced entity is identified as the twelfth month of the year, December.
- 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_69ca84cd8fa0819090a5e243ceb37003 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e3d75e08190b4d86363595bd40d |
completed | April 1, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69cd03bfeca08190924fca43aaa9c10f |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:20 p.m.