Triple
T19510374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gertrude Hullett |
E488134
|
entity |
| Predicate | victimIn |
P121278
|
FINISHED |
| Object | alleged poisoning case involving Dr. John Bodkin Adams |
—
|
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: alleged poisoning case involving Dr. John Bodkin Adams | Statement: [Gertrude Hullett, victimIn, alleged poisoning case involving Dr. John Bodkin Adams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: victimIn Context triple: [Gertrude Hullett, victimIn, alleged poisoning case involving Dr. John Bodkin Adams]
-
A.
victimRole
Indicates that one entity participates in an event or situation specifically in the role of the victim or harmed party.
-
B.
victimParty
chosen
Indicates that one party is the victim or harmed side in an event, action, or situation involving another party.
-
C.
coVictim
Indicates that two or more entities are victims in the same harmful event or incident.
-
D.
victimSide
Indicates that one entity is on, represents, or corresponds to the side of the victim in a conflict, incident, or harmful event.
-
E.
victimTitle
Indicates that one entity holds a title, role, or designation specifically in the capacity of being a victim in relation to another entity or event.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6351547e481909a875bba40651094 |
completed | April 20, 2026, 2:15 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7bd25881908caa04eaef1f6718 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:40 p.m.