Triple
T37842338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banzai Pipeline |
E943510
|
entity |
| Predicate | rightHanderName |
P189550
|
FINISHED |
| Object | Backdoor |
—
|
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: Backdoor | Statement: [Banzai Pipeline, rightHanderName, Backdoor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rightHanderName Context triple: [Banzai Pipeline, rightHanderName, Backdoor]
-
A.
leftHanderName
Indicates that the associated name belongs to a person who is left-handed.
-
B.
rightHandedComponent
Indicates that one entity functions as the right-handed component or counterpart within a paired or bilateral relationship to another entity.
-
C.
carriedInRightOrLeftHand
Indicates that an entity is being held and transported either in the right hand or in the left hand of an agent.
-
D.
handedness
Indicates the preference or dominance of one hand over the other in performing actions or tasks.
-
E.
rightHandManOf
Indicates that one entity serves as the primary trusted assistant, deputy, or closest subordinate to 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_69f76eeb0f7081908d6d3adbc469889c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd166a488190b1bf9316b0790801 |
completed | May 6, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69fbc36bcac48190a726b40442c094d1 |
completed | May 6, 2026, 10:40 p.m. |
Created at: May 3, 2026, 4:19 p.m.