Triple
T21828619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deb Dobkins |
E538924
|
entity |
| Predicate | lacksMemoriesOf |
P22661
|
FINISHED |
| Object | Jane Bingum's life before death |
—
|
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: Jane Bingum's life before death | Statement: [Deb Dobkins, lacksMemoriesOf, Jane Bingum's life before death]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lacksMemoriesOf Context triple: [Deb Dobkins, lacksMemoriesOf, Jane Bingum's life before death]
-
A.
erasesMemoriesOf
Indicates that one entity causes the memories of another entity to be removed or wiped out.
-
B.
forgets
Indicates that an entity fails to remember or loses awareness of something that was previously known or intended.
-
C.
ignorantOf
chosen
Indicates that one entity lacks knowledge or awareness of another entity or of some specific fact, topic, or situation.
-
D.
rememberedThrough
Indicates that one entity is remembered, commemorated, or kept in memory by means of, or through the influence of, another entity or medium.
-
E.
hasMemoryBlackouts
Indicates that an entity experiences episodes of lost or impaired memory for certain periods or events.
- 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f091344c848190b1675432a8c255f2 |
completed | April 28, 2026, 10:51 a.m. |
| PD | Predicate disambiguation | batch_69e6be815a108190be81d7c987d0c0d6 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:54 p.m.