Triple
T13539143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen |
E323336
|
entity |
| Predicate | isTerrorizedBy |
P956
|
FINISHED |
| Object | serial killer targeting women with disabilities |
—
|
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: serial killer targeting women with disabilities | Statement: [Helen, isTerrorizedBy, serial killer targeting women with disabilities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTerrorizedBy Context triple: [Helen, isTerrorizedBy, serial killer targeting women with disabilities]
-
A.
fearedAs
Indicates that one entity is regarded or perceived by another as an object of fear or intimidation.
-
B.
threatenedBy
chosen
Indicates that one entity poses a danger or potential harm to another entity.
-
C.
isVictimOf
Indicates that one entity suffers harm, loss, or wrongdoing as a result of another entity’s actions or events.
-
D.
fearedFor
Indicates that one entity experiences fear or concern about the safety, well-being, or fate of another entity.
-
E.
isThreatenedCategory
Indicates that an entity belongs to a category facing risk of harm, decline, or extinction.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafd7ad9481908fe1d7ffcf8fab71 |
completed | April 12, 2026, 2:44 p.m. |
| PD | Predicate disambiguation | batch_69dbae1046c48190b4ee98c6c9cb9d85 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:45 p.m.