Triple
T115617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jallianwala Bagh massacre 1919 |
E2330
|
entity |
| Predicate | relatedAssassination |
P6158
|
FINISHED |
| Object | assassination of Michael O’Dwyer in 1940 by Udham Singh |
—
|
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: assassination of Michael O’Dwyer in 1940 by Udham Singh | Statement: [Jallianwala Bagh massacre 1919, relatedAssassination, assassination of Michael O’Dwyer in 1940 by Udham Singh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedAssassination Context triple: [Jallianwala Bagh massacre 1919, relatedAssassination, assassination of Michael O’Dwyer in 1940 by Udham Singh]
-
A.
assassinationDate
Indicates the date on which an assassination of the referenced entity occurred.
-
B.
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).
-
C.
usedMethodOfKilling
Indicates that one entity employed a particular method or means to carry out a killing of another entity.
-
D.
killedBy
Indicates that one entity caused the death of another entity.
-
E.
perpetratedBy
Indicates that an action, event, or wrongdoing was carried out or caused by a particular agent or entity.
- F. None of above. chosen
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_69a2506c5428819085c28a8884790e29 |
completed | Feb. 28, 2026, 2:18 a.m. |
| NER | Named-entity recognition | batch_69a257845c548190bfb49409988d1c57 |
completed | Feb. 28, 2026, 2:48 a.m. |
| PD | Predicate disambiguation | batch_69a256456d908190b52c937fe6c4343f |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a2578329d08190be82e004b8224d2b |
completed | Feb. 28, 2026, 2:48 a.m. |
Created at: Feb. 28, 2026, 2:24 a.m.