Triple
T27926598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apress Pro series |
E707852
|
entity |
| Predicate | typicalReaderRole |
P18942
|
FINISHED |
| Object | software engineer |
—
|
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: software engineer | Statement: [Apress Pro series, typicalReaderRole, software engineer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalReaderRole Context triple: [Apress Pro series, typicalReaderRole, software engineer]
-
A.
typicalRole
chosen
Indicates that one entity serves as the usual, characteristic, or commonly expected role or function of another entity.
-
B.
typicalAdditionalRole
Indicates that an entity commonly or characteristically holds an extra role or function in addition to its primary one.
-
C.
patronRole
Indicates that one entity serves as a patron, sponsor, or supporting benefactor in relation to another entity.
-
D.
realmRole
Indicates that an entity holds or is associated with a specific role or set of permissions within a defined realm or security domain.
-
E.
typicalSupportSeriesRole
Indicates the usual or characteristic role that an entity plays within a support series or sequence of related support activities.
- 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_69ef96bbf2c48190a9d0e0291457aab6 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_6a003ffb548081908ba64fd2b570f42f |
completed | May 10, 2026, 8:21 a.m. |
| PD | Predicate disambiguation | batch_6a003fcecf788190a13dff38b9de3414 |
completed | May 10, 2026, 8:20 a.m. |
Created at: April 27, 2026, 7 p.m.