Triple
T15547777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pascual Ortiz Rubio |
E370656
|
entity |
| Predicate | wasAssassinationTarget |
P119131
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Pascual Ortiz Rubio, wasAssassinationTarget, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasAssassinationTarget Context triple: [Pascual Ortiz Rubio, wasAssassinationTarget, yes]
-
A.
assassinatedIn
Indicates that an assassination of one entity occurred within the specified location or context represented by another entity.
-
B.
assassinationEvent
Indicates a deliberate killing of a specific individual, typically for political or strategic reasons, carried out as a planned event.
-
C.
assassinated
Indicates that one entity deliberately killed another, typically for political, ideological, or strategic reasons.
-
D.
assassinationOrganizedBy
Indicates that an assassination was planned, directed, or coordinated by a particular agent or organization.
-
E.
relatedAssassination
Indicates a relationship where one entity is connected to, involved in, or associated with an assassination event concerning another 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a9073948190b6e9cf504aacc7cf |
completed | April 16, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69deda7a95c48190bbe29fadcf17191a |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f05f708190850f1d8782e132b0 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:08 a.m.