Triple
T35339502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wavy Gravy |
E1020556
|
entity |
| Predicate | securityPhilosophy |
P191838
|
FINISHED |
| Object | Please Force |
—
|
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: Please Force | Statement: [Wavy Gravy, securityPhilosophy, Please Force]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: securityPhilosophy Context triple: [Wavy Gravy, securityPhilosophy, Please Force]
-
A.
securityPrinciple
Indicates that an entity embodies, defines, or is governed by a fundamental rule, guideline, or concept related to security.
-
B.
securityPillar
Indicates that one entity functions as a foundational security pillar or core security domain in relation to another entity.
-
C.
security
Indicates that an entity provides protection, safety measures, or safeguards to another entity or against specific threats or risks.
-
D.
securityNature
Indicates the type or character of security involved in a relationship, such as the form, category, or protective nature of the security.
-
E.
securityProgram
Indicates that an entity is associated with, participates in, or is governed by a security program, such as a set of policies, controls, or initiatives related to safety or protection.
- 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_69f76debb4e08190be52d89b8af2392d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
| PDg | Predicate description generation | batch_69fcec5e560481909cd710b88897e833 |
completed | May 7, 2026, 7:47 p.m. |
Created at: May 3, 2026, 4:03 p.m.