Triple
T19349932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Porter |
E483986
|
entity |
| Predicate | isFromWorkType |
P66419
|
FINISHED |
| Object | young adult novel |
—
|
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: young adult novel | Statement: [Laura Porter, isFromWorkType, young adult novel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFromWorkType Context triple: [Laura Porter, isFromWorkType, young adult novel]
-
A.
isFromWorkCreatedIn
Indicates that something originates from or is derived from a work that was created in a specific context, such as a place, time, or setting.
-
B.
originallyFromWorkType
chosen
Indicates that one entity was derived, adapted, or sourced from an original work of a specified type (e.g., book, film, artwork).
-
C.
originatesFromWork
Indicates that something has its source, derivation, or creation in a particular work (such as a document, artwork, or publication).
-
D.
hasRoleInWorkType
Indicates that an entity holds a specific role or function within a particular type or category of work.
-
E.
appliesToWork
Indicates that something (such as a rule, policy, condition, or attribute) is relevant to, governs, or is in effect for a particular piece of work or work-related activity.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6190381c081909c747a22422fb02c |
completed | April 20, 2026, 12:16 p.m. |
| PD | Predicate disambiguation | batch_69e4dd12303c8190a2027c062b2dff40 |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 1:34 p.m.