Triple
T32164919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen Hudson |
E821539
|
entity |
| Predicate | causeOfAgoraphobia |
P19668
|
FINISHED |
| Object | traumatic attack by a killer |
—
|
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: traumatic attack by a killer | Statement: [Helen Hudson, causeOfAgoraphobia, traumatic attack by a killer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfAgoraphobia Context triple: [Helen Hudson, causeOfAgoraphobia, traumatic attack by a killer]
-
A.
causeOfCompulsion
Indicates that one entity is the reason or driving factor behind another entity’s sense of compulsion or irresistible urge to act.
-
B.
causeOf
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
C.
causeOfMentalHealthIssues
chosen
Indicates that one entity is a contributing factor in producing or worsening another entity’s mental health issues.
-
D.
fearMotive
Indicates that one entity’s actions or decisions are motivated by fear of another entity or of a particular outcome.
-
E.
fearExploitedBy
Indicates that one entity experiences fear as a result of being exploited, manipulated, or taken advantage of by another entity.
- 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_69f3490699a48190bbef96b198e8fade |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 1, 2026, 12:33 a.m.