Triple
T29013578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robot Elvex |
E737236
|
entity |
| Predicate | isKilledTo |
P165905
|
FINISHED |
| Object | prevent possible future robot rebellion |
—
|
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: prevent possible future robot rebellion | Statement: [Robot Elvex, isKilledTo, prevent possible future robot rebellion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isKilledTo Context triple: [Robot Elvex, isKilledTo, prevent possible future robot rebellion]
-
A.
killedBy
Indicates that one entity caused the death of another entity.
-
B.
killedDuring
Indicates that one entity caused the death of another entity in the course of, or as part of, a specified event or time period.
-
C.
killedOnBehalfOf
Indicates that one entity carried out a killing as a representative of, or in service to, another entity.
-
D.
killedBecauseOf
Indicates that one entity killed another specifically due to a particular reason, motive, or triggering factor associated with that other entity or a related circumstance.
-
E.
killedAt
Indicates that a killing event occurred at a specific location or time associated with the entities involved.
- 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_69f077ee19f881909af48f9cab00a2e5 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f65fdea3808190a42978dd3a8b0a5b |
completed | May 2, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65ad638ac8190a17bb987fce53279 |
completed | May 2, 2026, 8:13 p.m. |
Created at: April 28, 2026, 9:44 a.m.