Triple
T36191727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jane Margolis |
E1047007
|
entity |
| Predicate | deathWitness |
P62196
|
FINISHED |
| Object | Walter White |
—
|
NE NERFINISHED |
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: Walter White | Statement: [Jane Margolis, deathWitness, Walter White]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deathWitness Context triple: [Jane Margolis, deathWitness, Walter White]
-
A.
deathIsWitnessedBy
chosen
Indicates that the occurrence of a death is directly observed or witnessed by another entity.
-
B.
survivingWitness
Indicates that an entity is a witness to an event or situation and is still alive after it occurred.
-
C.
witnesses
Indicates that one entity observes an event, action, or situation involving another entity, typically as a bystander or observer.
-
D.
deathAfterDeposition
Indicates that one entity dies at some point after another entity has been deposed or removed from a position.
-
E.
notableWitness
Indicates that one entity is a significant or prominent witness to an event, action, or situation involving 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_69f76e3d4fbc81908c159c7beeb4ce00 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:08 p.m.