Triple
T30272013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Tripp |
E769826
|
entity |
| Predicate | hasWorkingStyle |
P47713
|
FINISHED |
| Object | by-the-book |
—
|
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: by-the-book | Statement: [Frank Tripp, hasWorkingStyle, by-the-book]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorkingStyle Context triple: [Frank Tripp, hasWorkingStyle, by-the-book]
-
A.
hasWorkStyle
chosen
Indicates the type or manner in which an entity typically performs work or carries out tasks.
-
B.
hasWorkingMode
Indicates that an entity operates under or supports a particular mode or configuration of functioning.
-
C.
hasPowerStyle
Indicates that one entity possesses or exhibits a particular style or manner of using power in relation to another entity or context.
-
D.
hasStyle
Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
-
E.
hasStyleCharacteristics
Indicates that one entity exhibits or embodies the stylistic features, traits, or qualities associated with another entity.
- F. None of above.
Provenance (3 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_69f224856d9881908c7f0dd64f059672 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
Created at: April 29, 2026, 7:44 p.m.