Triple
T37459114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lightbomb |
E930872
|
entity |
| Predicate | bypassesImmunity |
P187903
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Lightbomb, bypassesImmunity, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bypassesImmunity Context triple: [Lightbomb, bypassesImmunity, false]
-
A.
bypassesInhibitionOf
Indicates that one entity counteracts or circumvents the inhibitory effect exerted by another entity on a target process or function.
-
B.
bypassedVia
Indicates that one entity is avoided, skipped, or circumvented by using another specified means, route, or method.
-
C.
hasRoleInImmunity
Indicates that an entity functions in or contributes to an immune-related process or mechanism.
-
D.
hasBypass
Indicates that one entity includes or is equipped with an alternative route or mechanism that circumvents or avoids another entity or process.
-
E.
bypassedSince
Indicates that one entity has been avoided, skipped, or circumvented by another entity starting from a specific point in time and continuing thereafter.
- 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb92efc5948190a040ba2028bab964 |
completed | May 6, 2026, 7:13 p.m. |
| PD | Predicate disambiguation | batch_69fb8d0b52588190bb29937a43b99b5e |
completed | May 6, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69fb92ee27408190b0116ef2d789abac |
completed | May 6, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:17 p.m.