Triple
T37931586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Queen's Wake |
E946231
|
entity |
| Predicate | numberOfBardsInContest |
P204482
|
FINISHED |
| Object | twelve |
—
|
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: twelve | Statement: [The Queen's Wake, numberOfBardsInContest, twelve]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfBardsInContest Context triple: [The Queen's Wake, numberOfBardsInContest, twelve]
-
A.
literaryFeudWith
Indicates a hostile or antagonistic relationship between two literary figures or groups, typically involving public disputes, criticism, or rivalry expressed through writing or commentary.
-
B.
numberOfVictoriesOverPindarInTradition
Indicates the count of times an entity is traditionally regarded as having surpassed or defeated Pindar in some recognized context.
-
C.
numberOfCantos
Indicates the total count of cantos associated with a given work or entity.
-
D.
numberOfOdes
Indicates the quantity of odes associated with or contained in a given entity.
-
E.
numberOfMuses
Indicates the specific count of muses associated with a given subject.
- 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_69f76ef3b7248190892fb9706423be7c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:20 p.m.