Triple
T30007049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judy Warren (Annabelle Comes Home) |
E762351
|
entity |
| Predicate | bulliedFor |
P129255
|
FINISHED |
| Object | parents’ paranormal work |
—
|
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: parents’ paranormal work | Statement: [Judy Warren (Annabelle Comes Home), bulliedFor, parents’ paranormal work]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bulliedFor Context triple: [Judy Warren (Annabelle Comes Home), bulliedFor, parents’ paranormal work]
-
A.
targetOfBullying
chosen
Indicates that one entity is the victim or recipient of bullying behavior carried out by another entity.
-
B.
formerBullyOf
Indicates that one entity used to bully another entity in the past but no longer does so.
-
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.
usesOnlineBullyingAgainst
Indicates that one entity engages in online bullying behavior directed at another entity.
-
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_69f2246a47ac81909cf5213053687ffc |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67953393481909fce15619f1a1c10 |
completed | May 2, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69f66ec9919881908a187bfc7c4df192 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:43 p.m.