Triple
T30070689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Rizzio |
E764173
|
entity |
| Predicate | killedInPresenceOf |
P4646
|
FINISHED |
| Object | Mary, Queen of Scots |
—
|
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: Mary, Queen of Scots | Statement: [David Rizzio, killedInPresenceOf, Mary, Queen of Scots]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: killedInPresenceOf Context triple: [David Rizzio, killedInPresenceOf, Mary, Queen of Scots]
-
A.
killedBy
chosen
Indicates that one entity caused the death of another entity.
-
B.
killedNear
Indicates that one entity killed another in close spatial proximity to a specified location or reference point.
-
C.
allegedToHaveKilled
Indicates that one entity is claimed or accused, but not proven, to have killed another entity.
-
D.
killsOrIsKilledBy
Indicates that one entity causes the death of the other or is itself killed by that entity, capturing a mutual or directional lethal relationship between them.
-
E.
killedInAttack
Indicates that an entity died as a direct result of a specific attack 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_69f2247221388190a13a22c47094a0ef |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67d37aae48190a3451c9eb72248fb |
completed | May 2, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7 p.m.