Triple
T30070706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Rizzio |
E764173
|
entity |
| Predicate | notableAssailant |
P18213
|
FINISHED |
| Object | Patrick Ruthven, 3rd Lord Ruthven |
E1047772
|
NE 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: Patrick Ruthven, 3rd Lord Ruthven | Statement: [David Rizzio, notableAssailant, Patrick Ruthven, 3rd Lord Ruthven]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAssailant Context triple: [David Rizzio, notableAssailant, Patrick Ruthven, 3rd Lord Ruthven]
-
A.
notableAdversary
Indicates that one entity is recognized as a significant or prominent opponent or rival of another entity.
-
B.
notableAttack
chosen
Indicates that an entity carried out, was involved in, or is strongly associated with a particularly significant or well-known attack.
-
C.
notableVictim
Indicates that the subject is a person or entity who is notably recognized as a victim of the object (such as an event, crime, or harmful action).
-
D.
notableCombatant
Indicates that an entity is recognized as a significant or distinguished participant in a particular conflict or combat event.
-
E.
notablePrisoner
Indicates that a person is recognized as a significant or noteworthy inmate of a particular prison or detention facility.
- F. None of above.
Provenance (4 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_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a274318267c8190aadd6762b42cbe87 |
completed | June 8, 2026, 10:32 p.m. |
| PD | Predicate disambiguation | batch_6a0379e0f3d88190a4ee7b0673f1ef90 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 7 p.m.