Triple
T869668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Muses |
E18781
|
entity |
| Predicate | numberInClassicalTradition |
P20392
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [the Muses, numberInClassicalTradition, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberInClassicalTradition Context triple: [the Muses, numberInClassicalTradition, 9]
-
A.
theoreticalTradition
Indicates that one entity belongs to, is framed within, or is analyzed according to the theoretical tradition represented by the other entity.
-
B.
consideredClassic
Indicates that something is widely regarded or recognized as a classic within a particular field, genre, or context.
-
C.
typicalNotation
Indicates that one entity is the standard or commonly used symbolic representation (notation) for another entity.
-
D.
mainClassicalLanguage
Indicates the primary classical (historically foundational) language associated with an entity, such as a text, culture, or scholarly tradition.
-
E.
musicTradition
Indicates a relationship where one entity follows, embodies, or belongs to a particular musical tradition or style associated with another entity.
- 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_69a4938ce8688190a24bdfef82ba7d21 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac811e548190a72b7a10b5ea8665 |
completed | March 1, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69a4aa89ca008190b50d061ac7fe19f9 |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ab498bb0819080e3afb684b504b6 |
completed | March 1, 2026, 9:10 p.m. |
Created at: March 1, 2026, 7:39 p.m.