Triple
T7977582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George McFly |
E185483
|
entity |
| Predicate | bulliedStatus |
P58515
|
FINISHED |
| Object | victim of school bullying |
—
|
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: victim of school bullying | Statement: [George McFly, bulliedStatus, victim of school bullying]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bulliedStatus Context triple: [George McFly, bulliedStatus, victim of school bullying]
-
A.
isVictimOf
Indicates that one entity suffers harm, loss, or wrongdoing as a result of another entity’s actions or events.
-
B.
victimStatus
chosen
Indicates the condition or state of a person who has been harmed or wronged as a result of an event, action, or offense.
-
C.
discriminatedAgainst
Indicates that one entity treats another unfairly or unequally based on a particular characteristic, such as race, gender, or other protected attributes.
-
D.
isGaslitBy
Indicates that one entity is being psychologically manipulated by another to make them doubt their own perceptions, memories, or sanity.
-
E.
insultedAs
Indicates that one entity directed an insulting or offensive remark or action toward another entity, characterizing the target in a demeaning way.
- 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bf716508190b4245bd5d89ae8c4 |
completed | March 31, 2026, 3:13 a.m. |
| PD | Predicate disambiguation | batch_69cb047a8e4c81909b79e0f0bf56440c |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:14 p.m.