Triple
T34096932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frederick Herzberg |
E874453
|
entity |
| Predicate | twoFactorTheoryComponent |
P178226
|
FINISHED |
| Object | hygiene factors |
—
|
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: hygiene factors | Statement: [Frederick Herzberg, twoFactorTheoryComponent, hygiene factors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: twoFactorTheoryComponent Context triple: [Frederick Herzberg, twoFactorTheoryComponent, hygiene factors]
-
A.
secondFactor
Indicates that one entity serves as the second factor or component in a multiplicative or combinational relationship with another entity.
-
B.
advantageOverPasswords
Indicates that one method, system, or approach provides benefits or improvements compared to traditional password-based authentication.
-
C.
hasSecurityNotion
Indicates that one entity possesses, defines, or is associated with a particular concept or notion of security in relation to another entity or context.
-
D.
verificationDevice
Indicates that one entity functions as a device used to verify, authenticate, or confirm the status or properties of another entity.
-
E.
paymentFormFactor
Indicates the specific method or medium through which a payment is made or presented (e.g., card, mobile wallet, cash).
- 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_69f349a735208190a1dbfb1c2a121059 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70c6153e48190879589fa9eab790f |
completed | May 3, 2026, 8:50 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70b94784c8190970d654e066eb50d |
completed | May 3, 2026, 8:47 a.m. |
Created at: May 1, 2026, 1:53 a.m.