Triple
T13354474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doc Savage |
E318151
|
entity |
| Predicate | swornEnemyOf |
P16446
|
FINISHED |
| Object | evil-doers |
—
|
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: evil-doers | Statement: [Doc Savage, swornEnemyOf, evil-doers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: swornEnemyOf Context triple: [Doc Savage, swornEnemyOf, evil-doers]
-
A.
formerEnemyOf
Indicates that one entity was previously an enemy of another entity, but that adversarial relationship no longer holds.
-
B.
archenemyOf
chosen
Indicates a relationship in which one entity is the principal or most important enemy of another, often characterized by deep, ongoing opposition or rivalry.
-
C.
laterEnemyOf
Indicates that one entity becomes an enemy of another at a later time, after not initially being in an antagonistic relationship.
-
D.
antagonistOf
Indicates a relationship where one entity actively opposes, conflicts with, or serves as an adversary to another.
-
E.
temporarilyEnemyOf
Indicates a relationship where two entities are in a state of enmity or opposition for a limited, non-permanent period of time.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8d520881908aa23c7102b72b72 |
completed | April 11, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69d98f6fd8bc819086dddb6f376efa57 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:32 p.m.