Triple
T32656980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nelson Muntz |
E834888
|
entity |
| Predicate | oftenBullies |
P191907
|
FINISHED |
| Object | weaker students |
—
|
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: weaker students | Statement: [Nelson Muntz, oftenBullies, weaker students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenBullies Context triple: [Nelson Muntz, oftenBullies, weaker students]
-
A.
targetOfBullying
Indicates that one entity is the victim or recipient of bullying behavior carried out by another entity.
-
B.
usesOnlineBullyingAgainst
Indicates that one entity engages in online bullying behavior directed at another entity.
-
C.
formerBullyOf
Indicates that one entity used to bully another entity in the past but no longer does so.
-
D.
oftenThreaten
Indicates that one entity frequently makes threats toward another entity.
-
E.
oftenSays
Indicates that one entity frequently makes a particular statement or remark, or regularly expresses a certain idea or phrase.
- 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_69f3492f72248190ba42fa596aea50e1 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69fcef636dfc819085cf91323f2e4edd |
completed | May 7, 2026, 8 p.m. |
Created at: May 1, 2026, 1:08 a.m.