Triple
T35702596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roxy Richter |
E1031625
|
entity |
| Predicate | isEvilExOf |
P183838
|
FINISHED |
| Object | Ramona Flowers |
E1168716
|
NE 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: Ramona Flowers | Statement: [Roxy Richter, isEvilExOf, Ramona Flowers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEvilExOf Context triple: [Roxy Richter, isEvilExOf, Ramona Flowers]
-
A.
typeOfEvil
Indicates that one entity is classified as a specific kind or category of evil in relation to another.
-
B.
isTypeOfVillain
Indicates that one entity is classified as a particular type or category of villain in relation to another entity.
-
C.
isMoralFoilFor
Indicates that one entity serves as a contrasting counterpart whose differing moral qualities highlight or emphasize the moral traits of another entity.
-
D.
isCruxOf
Indicates that something is the central, most critical, or decisive element within a situation, argument, or problem.
-
E.
positionOnEvil
Indicates a stance or viewpoint an entity holds regarding what is considered evil or morally wrong.
- F. None of above. chosen
Provenance (5 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_69f76e0d393c8190b6303c64408736db |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38729a5fa88190b86b1995cdecdbbd |
completed | June 21, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a34e80dc8190980d5b7b0b91341d |
completed | May 3, 2026, 7:34 p.m. |
Created at: May 3, 2026, 4:05 p.m.