Triple
T15711485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silent Wolf |
E380847
|
entity |
| Predicate | fightingReputation |
P119881
|
FINISHED |
| Object | highly respected |
—
|
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: highly respected | Statement: [Silent Wolf, fightingReputation, highly respected]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fightingReputation Context triple: [Silent Wolf, fightingReputation, highly respected]
-
A.
tacticalReputation
Indicates the perceived level of skill, reliability, or effectiveness an entity has in planning and executing tactics within a given context.
-
B.
championshipReputation
Indicates the recognized status or esteem an entity holds based on its history of success or performance in championships or major competitive titles.
-
C.
defensiveReputation
Indicates that an entity is regarded or recognized as being strong, reliable, or skilled in defense.
-
D.
terrainReputation
Indicates how an entity is regarded or perceived based on its performance, behavior, or influence within a particular type of terrain or environmental setting.
-
E.
clutchReputation
Indicates how an entity is perceived in terms of performing well under high-pressure or critical situations.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f8f5d6081908243fa59b46b7c76 |
completed | April 16, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69e00526759c819088b80d85138b8974 |
completed | April 15, 2026, 9:37 p.m. |
| PDg | Predicate description generation | batch_69e0094af5b481908ad51d5d7ba0c726 |
completed | April 15, 2026, 9:55 p.m. |
Created at: April 10, 2026, 4:45 a.m.