Triple
T15801459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Master |
E383107
|
entity |
| Predicate | hasRankFor |
P58134
|
FINISHED |
| Object | philosophy |
—
|
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: philosophy | Statement: [Second Master, hasRankFor, philosophy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRankFor Context triple: [Second Master, hasRankFor, philosophy]
-
A.
hasRankCategory
Indicates that an entity is assigned to a particular rank-based classification or level within an ordered hierarchy.
-
B.
hasRankContext
chosen
Indicates that an entity’s rank or ordering is defined, interpreted, or constrained within a specific contextual framework or situation.
-
C.
containsRank
Indicates that one entity includes or encompasses another entity that has a specific rank or hierarchical level within it.
-
D.
isRank
Indicates that one entity serves as the rank, level, or hierarchical position associated with another entity.
-
E.
hasRankVariant
Indicates that one entity is an alternative or variant form of another entity’s rank or hierarchical level.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b522a2988190b2a2bde2da31b21e |
completed | April 16, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69e0053b847c8190945726c3ddac21cc |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:48 a.m.